| "Decision Trees, Random Forests, AdaBoost & XGBoost in R" |
| "You're looking for a complete Decision tree course that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in R, right?You've found the right Decision Trees and tree based advanced techniques course!After completing this course you will be able to:Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoostCreate a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in R and analyze its result.Confidently practice, discuss and understand Machine Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through Decision tree.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems.Below are the course contents of this course :Section 1 - Introduction to Machine LearningIn this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.Section 2 - R basicThis section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. Section 3 - Pre-processing and Simple Decision treesIn this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful.In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree.Section 4 - Simple Classification TreeThis section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in PythonSection 5, 6 and 7 - Ensemble techniqueIn this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Bagging, Gradient Boosting, AdaBoost and XGBoost.By the end of this course, your confidence in creating a Decision tree model in R will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy------------Below is a list of popular FAQs of students who want to start their Machine learning journey-What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 3 parts:Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in PythonUnderstanding of models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.Why use R for Machine Learning?Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R1. Its a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, its not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means its easy to find answers to questions and community guidance as you work your way through projects in R.5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier and of course, itll also make you a more flexible and marketable employee when youre looking for jobs in data science.What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledgeand further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning."
Price: 29.99 |
| "Support Vector Machines in Python - SVM in Python 2019" |
| "You're looking for a complete Support Vector Machines course that teaches you everything you need to create a Support Vector Machines model in Python, right?You've found the right Support Vector Machines techniques course!How this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through Decision tree.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy"
Price: 29.99 |
| "Support Vector Machines (SVM) in R: A Unique ML technique" |
| "You're looking for a complete Support Vector Machines course that teaches you everything you need to create a SVM model in R, right?You've found the right Support Vector Machines techniques course!How this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through SVM.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy"
Price: 29.99 |
| "Excel Analytics: Linear Regression Analysis in MS Excel" |
| "You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Excel, right?You've found the right Linear Regression course!After completing this course you will be able to: Identify the business problem which can be solved using linear regression technique of Machine Learning. Create a linear regression model in Excel and analyze its result. Confidently practice, discuss and understand Machine Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear RegressionWhy should you choose this course?This course covers all the steps that one should take while solving a business problem through linear regression.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this courseWe are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.What is covered in this course?This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.Below are the course contents of this course on Linear Regression: Section 1 - Basics of StatisticsThis section is divided into five different lectures starting from types of data then types of statisticsthen graphical representations to describe the data and then a lecture on measures of center like meanmedian and mode and lastly measures of dispersion like range and standard deviation Section 2 - Data PreprocessingIn this section you will learn what actions you need to take a step by step to get the data and thenprepare it for the analysis these steps are very important.We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation. Section 3 - Regression ModelThis section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that youunderstand where the concept is coming from and how it is important. But even if you don't understandit, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem.By the end of this course, your confidence in creating a regression model in R will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy------------Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.What is the Linear regression technique of Machine learning?Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).When there is a single input variable (x), the method is referred to as simple linear regression.When there are multiple input variables, the method is known as multiple linear regression.Why learn Linear regression technique of Machine learning?There are four reasons to learn Linear regression technique of Machine learning:1. Linear Regression is the most popular machine learning technique2. Linear Regression has fairly good prediction accuracy3. Linear Regression is simple to implement and easy to interpret4. It gives you a firm base to start learning other advanced techniques of Machine LearningHow much time does it take to learn Linear regression technique of machine learning?Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression.What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 4 parts:Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the R environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in RUnderstanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture in R where we actually run each query with you."
Price: 29.99 |
| "Marketing Analytics: Customer Value and Promotion Strategy" |
| "You're looking for a complete course that will teach you how to calculate customer value to drive business decisions involving product pricing, acquisition cost, marketing cost, and many other parts of the business., right?You've found the right course Customer Valuation for Entrepreneurs and Marketers! This course teaches you everything you need to know about different methods to find customer lifetime value and how to find it in Excel using advanced excel tool.After completing this course you will be able to:Understand the value of your customers to make intelligent decisions on how to spend money acquiring themLearn how to measure customer value based on the customer value conceptUse Monte-Carlo simulation to incorporate uncertainty in customer value modelsConfidently practice, discuss and understand Customer value models used by organizationsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Customer Valuation for Entrepreneurs and Marketers course.If you are a business manager or an executive, or a student who wants to learn, calculate and apply customer value in real world problems of business, this course will give you a solid base for that by teaching you the most popular Customer lifetime value models and how to implement it.Why should you choose this course?We believe in teaching by example. This course is no exception. Every Sections primary focus is to teach you the concepts through how-to examples. Each section has the following components:Theoretical concepts and use cases of different Customer value modelsStep-by-step instructions on implement such models in excelDownloadable Excel file containing data and solutions used in each lectureClass notes and assignments to revise and practice the conceptsThe practical classes where we create the model is something which differentiates this course from any other course available online.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this courseWe are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.What is covered in this course?Understand the value of your customers to make intelligent decisions on how to spend money acquiring them. In this course, we will explore how one can use excel for finding Customer value toFind lifetime customer valueTake data driven decision on deciding acquisition cost, retention efforts etc Let me give you a brief overview of the courseSection 1 - IntroductionIn this section we will learn about the course structureSection 2 - Lifetime Customer ValueIn this section, we will discuss about the basic of concepts of Customer Lifetime value.Section 3 - Variations and Sensitivity AnalysisIn this section you will learn how to create excel model to find lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.Section 4 - Monte Carlo SimulationThis section we will learn the basics and use-cases of Monte Carlo Simulation. We will also use Monte Carlo simulation to find customer value in uncertain scenarios.I am pretty confident that the course will give you the necessary knowledge and skills to immediately see practical benefits in your work place.Go ahead and click the enroll button, and I'll see you in lesson 1CheersStart-Tech Academy"
Price: 29.99 |
| "Complete Machine Learning with R Studio - ML for 2020" |
| "You're looking for a complete Machine Learning course that can help you launch a flourishing career in the field of Data Science & Machine Learning, right?You've found the right Machine Learning course!After completing this course you will be able to: Confidently build predictive Machine Learning models to solve business problems and create business strategy Answer Machine Learning related interview questions Participate and perform in online Data Analytics competitions such as Kaggle competitionsCheck out the table of contents below to see what all Machine Learning models you are going to learn.How this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning.Why should you choose this course?This course covers all the steps that one should take while solving a business problem through linear regression.Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this courseWe are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.Below is a list of popular FAQs of students who want to start their Machine learning journey-What is Machine Learning?Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.What are the steps I should follow to be able to build a Machine Learning model?You can divide your learning process into 3 parts:Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning modelProgramming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in PythonUnderstanding of models - Fifth and sixth section cover Classification models and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.Why use R for Machine Learning?Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R1. Its a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, its not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means its easy to find answers to questions and community guidance as you work your way through projects in R.5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier and of course, itll also make you a more flexible and marketable employee when youre looking for jobs in data science.What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledgeand further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning."
Price: 199.99 |
| "Zero to Hero in Microsoft Excel: Complete Excel guide 2020" |
| "6 Reasons why you should choose this Excel courseCarefully designed curriculum teaching you only the most used functionalities of Excel in business environmentConcise - you can complete this course within one weekendBusiness related examples and case studiesAmple practice exercises because Excel requires practiceDownloadable resourcesYour queries will be responded by the Instructor himselfStart using Excel to its full potential to become proficient at your Excel tasks today! Either you're new to Excel, or you've played around with it but want to get more comfortable with Excel's advanced features. Either way, this course will be great for you.A Verifiable Certificate of Completion is presented to all students who undertake this Excel course.Why should you choose this course?This is a complete and concise tutorial on MS Excel which can be completed within 6 hours. We know that your time is important and hence we have created this fast paced course without wasting time on irrelevant Excel operations. What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:I had an awesome moment taking this course. It broaden my knowledge more on the power use of Excel as an analytical tools. Kudos to the instructor! - SikiruVery insightful, learning very nifty tricks and enough detail to make it stick in your mind. - ArmandOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Solution to Assignment is also shared so that you can review your performance. What is covered in this course? This course covers everything you need to crack Excel in the professional work place.Below are the Excel course contents of this complete and concise course on Microsoft Excel:Introduction - In this video, the structure and contents of the course are discussed.Mathematical Functions - This lecture covers Mathematical formulas such as SUM, AVERAGE,RAND, MIN & MAX, SUMPRODUCT.Textual Formulas - This Excel lecture covers Textual formulas such as TRIM, CONCATENATE, SUBSTITUTE, UPPER & LOWER, LENGTH, LEFT, RIGHT & MIDLogical Formulas - This lecture covers Logical formulas such as AND & OR, IF, COUNTIF, SUMIFDate-time (Temporal) Formulas - This lecture covers Date-time related functions such as TODAY & NOW, DAY, MONTH & YEAR, DATEDIF & DAYSLookup Formulas - This Excel lecture covers Lookup formulas such as VLOOKUP, HLOOKUP, INDEX, MATCHData Tools - This lecture covers Data operating tools such as Data Sorting and Filtering, Data validation, Removing duplicates, Importing Data (Text-to-columns)Formatting data and tables - This Excel lecture covers data formatting options such as coloring, changing font, alignments and table formatting options such as adding borders, having highlighted table headers, banded rows etc.Pivot Tables - This Excel lecture covers Pivot tables end-to-end.Charts - This Excel lecture covers charts such as, Bar/ Column chart, Line Chart, Scatter Plot, Pie & Doughnut charts, Statistical Chart - Histogram, Waterfall, SparklinesExcel Shortcuts - This lecture will introduce you to some important shortcuts and teach you how to find out the shortcut for any particular excel operation.Analytics in Excel - This Excel lecture covers the data analytics options available in Excel such as Regression, Solving linear programming problem (Minimization or Maximization problems), What-if (Goal Seek and Scenario Manager)Macros - This lecture covers the process of recording a Macro, running a Macro and creating a button to run a Macro.Bonus Lectures - Waterfall chart in Excel 2016 and previous versions of Excel, Infographics 1: Cool charts, Infographics 2: Cool chartsAnd so much more!By the end of this course, your confidence in using Excel will soar. You'll have a thorough understanding of how to use Microsoft Excel for study or as a career opportunity.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech AcademyFAQ'sWhy learn Microsoft Excel?1. Microsoft Excel helps solve Business Problems2. Microsoft Excel helps you get stuff done3. Microsoft Excel will make you better at your job (no matter what that is)4. Microsoft Excel know-how can instantly increase your job prospects as well as your starting salaryHow much time does it take to learn Microsoft Excel?Microsoft Excel is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Microsoft Excel quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn Microsoft Excel quickly.What are the steps I should follow to learn Microsoft Excel? 1. Start learning from the basics of Microsoft Excel. The first 3 sections of the course cover the basics. 2. Once done with the basic try your hands on advanced MS Excel. Next 7 sections cover Advanced Excel topics 3. Next section will help you some cool new tricks of Microsoft Excel. 4. Practice your learning on the exercise provided with every lecture. What is the difference between basic and advanced level of Excel?At Basic level of MS Excel a personCan build excel formulas using: SUM, IF, AVERAGE, COUNT, ROUND Is comfortable building excel formulas to manipulate text and datesUnderstands and can use the Filter and Sort feature of Microsoft Excel.Can create basic charts like Line chart, bar chart and pie chartAt Advanced level of MS Excel a personCan implement Excel LOOKUP Formulas like VLOOKUP, HLOOKUP, Index and MatchCan use conditional and logical formulas like IF, SUMIF, COUNTIF, OR, AND etc.Knows what a Pivot Table is and how to build one.Knows what an add-in is and how to install one.Can record a macro and use it later.Can successfully edit/modify simple recorded macros.Can create advanced charts like Waterfall chart and overlay chart in Microsoft ExcelCan create solve analytics problem using excel solver.Start working proficiently on Microsoft Excel and increase your office productivity.The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Excel in today's corporate world."
Price: 29.99 |
| "Neural Networks (ANN) using Keras and TensorFlow in Python" |
| "You're looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right?You've found the right Neural Networks course!After completing this course you will be able to:Identify the business problem which can be solved using Neural network Models.Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.Create Neural network models in Python using Keras and Tensorflow libraries and analyze their results.Confidently practice, discuss and understand Deep Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.Why should you choose this course?This course covers all the steps that one should take to create a predictive model using Neural Networks.Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.Below are the course contents of this course on ANN:Part 1 - Python basicsThis part gets you started with Python.This part will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.Part 2 - Theoretical ConceptsThis part will give you a solid understanding of concepts involved in Neural Networks.In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 - Creating Regression and Classification ANN model in PythonIn this part you will learn how to create ANN models in Python.We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.We also understand the importance of libraries such as Keras and TensorFlow in this part.Part 4 - Data PreprocessingIn this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. Part 5 - Classic ML technique - Linear RegressionThis section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that youunderstand where the concept is coming from and how it is important. But even if you don't understandit, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem.By the end of this course, your confidence in creating a Neural Network model in Python will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy------------Below are some popular FAQs of students who want to start their Deep learning journey-Why use Python for Deep Learning?Understanding Python is one of the valuable skills needed for a career in Deep Learning.Though it hasnt always been, Python is the programming language of choice for data science. Heres a brief history: In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggetss annual poll of data scientists most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.Deep Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, its nice to know that employment opportunities are abundant (and growing) as well.What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledgeand further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning."
Price: 199.99 |
| "Neural Networks (ANN) in R studio using Keras & TensorFlow" |
| "You're looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in R, right?You've found the right Neural Networks course!After completing this course you will be able to:Identify the business problem which can be solved using Neural network Models.Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.Create Neural network models in R using Keras and Tensorflow libraries and analyze their results.Confidently practice, discuss and understand Deep Learning conceptsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in R Studio without getting too Mathematical.Why should you choose this course?This course covers all the steps that one should take to create a predictive model using Neural Networks.Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.Below are the course contents of this course on ANN:Part 1 - Setting up R studio and R Crash courseThis part gets you started with R.This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. Part 2 - Theoretical ConceptsThis part will give you a solid understanding of concepts involved in Neural Networks.In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 - Creating Regression and Classification ANN model in RIn this part you will learn how to create ANN models in R Studio.We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.We also understand the importance of libraries such as Keras and TensorFlow in this part.Part 4 - Data PreprocessingIn this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split.Part 5 - Classic ML technique - Linear RegressionThis section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that youunderstand where the concept is coming from and how it is important. But even if you don't understandit, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem.By the end of this course, your confidence in creating a Neural Network model in R will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy------------Below are some popular FAQs of students who want to start their Deep learning journey-Why use R for Deep Learning?Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R1. Its a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, its not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means its easy to find answers to questions and community guidance as you work your way through projects in R.5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier and of course, itll also make you a more flexible and marketable employee when youre looking for jobs in data science.What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledgeand further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning."
Price: 199.99 |
| "Marketing Analytics for Retail Business Management" |
| "You're looking for a complete course on understanding Retail Analytics to drive business decisions involving production schedules, inventory management, promotional mail optimization, store layouting, estimating roght bundle price, customer valuation and many other parts of the business., right?You've found the right Marketing & Retail Analytics: Strategies & Models in Excel! This course teaches you everything you need to know about different forecasting models, Market Basket analysis, RFM (recency, frequency, monetary) analysis, Customer Valuation methods & Price Bundling analysis and how to implement these models in Excel using advanced excel tool.After completing this course you will be able to:Implement forecasting models such as simple linear, simple multiple regression, Additive and multiplicative trend and seasonality model and many more.Perform market basket analysis and calculate lift to derive a store layout that maximizes sales from complementary products. Do RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.Increase revenue/profit of your firm by implementing revenue / profit maximizing bundle price point using Excel solver Add-inUnderstand the value of your customers to make intelligent decisions on how to spend money acquiring themConfidently practice, discuss and understand different retail analytics models used by organizationsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Marketing & Retail Analytics: Strategies & Models in Excel course.If you are a business manager or an executive, or a student who wants to learn and apply forecasting models in real world problems of business, this course will give you a solid base for that by teaching you the most popular forecasting models and how to implement it.Why should you choose this course?We believe in teaching by example. This course is no exception. Every Sections primary focus is to teach you the concepts through how-to examples. Each section has the following components:Theoretical concepts and use cases of different forecasting modelsStep-by-step instructions on implement forecasting models in excelDownloadable Excel file containing data and solutions used in each lectureClass notes and assignments to revise and practice the conceptsThe practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this courseWe are also the creators of some of the most popular online courses - with over 170,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.What is covered in this course?Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use forecasting models toSee patterns in time series dataMake forecasts based on modelsLet me give you a brief overview of the courseSection 1 - IntroductionIn this section we will learn about the course structureSection 2 - Basics of ForecastingIn this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in ExcelSection 3 - Getting Data Ready for Regression ModelIn this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.Section 4 - Forecasting using Regression ModelThis section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables data set are interpreted in the results.Section 5 - Handling Special events like Holiday salesIn this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.Section 6 - Identifying Seasonality & Trend for ForecastingIn this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.Section 7 - Market Basket Analysis and Lift In this section we will learn about market basket analysis and learn how to calculate lift to derive a store layout that maximizes sales from complementary products.Section 8 - Recency, frequency, and monetary value analysisIn this section we will learn techniques to perform RFM (Recency, frequency, and monetary value) analysis to help you maximize profit from promotional mail campaigns.Section 9 - Recency, frequency, and monetary value analysisIn this section we will learn price bundling techniques and learn how to increase revenue/profit of your firm by implementing revenue / profit maximizing price point using Excel solver Add-inSection 10 - Recency, frequency, and monetary value analysisIn this section, we will discuss about the basic of concepts of Customer Lifetime value and learn how to create excel model to find lifetime customer value and perform sensitivity analysis to capture variations in lifetime value under different scenarios.Section 11 - Excel crash courseIf you're new to Excel, or you've played around with it but want to get more comfortable with Excel's advanced features required for this course. Either way, this section will be great for you to revise your rusty excel skills .I am pretty confident that the course will give you the necessary knowledge and skills to immediately see practical benefits in your work place.Go ahead and click the enroll button, and I'll see you in lesson 1CheersStart-Tech Academy"
Price: 199.99 |
| "CNN for Computer Vision with Keras and TensorFlow in Python" |
| "You're looking for a complete Convolutional Neural Network (CNN) course that teaches you everything you need to create a Image Recognition model in Python, right?You've found the right Convolutional Neural Networks course!After completing this course you will be able to:Identify the Image Recognition problems which can be solved using CNN Models.Create CNN models in Python using Keras and Tensorflow libraries and analyze their results.Confidently practice, discuss and understand Deep Learning conceptsHave a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc.How this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Convolutional Neural networks course.If you are an Analyst or an ML scientist, or a student who wants to learn and apply Deep learning in Real world image recognition problems, this course will give you a solid base for that by teaching you some of the most advanced concepts of Deep Learning and their implementation in Python without getting too Mathematical.Why should you choose this course?This course covers all the steps that one should take to create an image recognition model using Convolutional Neural Networks.Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 300,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.Below are the course contents of this course on ANN:Part 1 (Section 2)- Python basicsThis part gets you started with Python.This part will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.Part 2 (Section 3-6) - ANN Theoretical ConceptsThis part will give you a solid understanding of concepts involved in Neural Networks.In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 (Section 7-11) - Creating ANN model in PythonIn this part you will learn how to create ANN models in Python.We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. Lastly we learn how to save and restore models.We also understand the importance of libraries such as Keras and TensorFlow in this part.Part 4 (Section 12) - CNN Theoretical ConceptsIn this part you will learn about convolutional and pooling layers which are the building blocks of CNN models.In this section, we will start with the basic theory of convolutional layer, stride, filters and feature maps. We also explain how gray-scale images are different from colored images. Lastly we discuss pooling layer which bring computational efficiency in our model.Part 5 (Section 13-14) - Creating CNN model in PythonIn this part you will learn how to create CNN models in Python.We will take the same problem of recognizing fashion objects and apply CNN model to it. We will compare the performance of our CNN model with our ANN model and notice that the accuracy increases by 9-10% when we use CNN. However, this is not the end of it. We can further improve accuracy by using certain techniques which we explore in the next part.Part 6 (Section 15-18) - End-to-End Image Recognition project in PythonIn this section we build a complete image recognition project on colored images.We take a Kaggle image recognition competition and build CNN model to solve it. With a simple model we achieve nearly 70% accuracy on test set. Then we learn concepts like Data Augmentation and Transfer Learning which help us improve accuracy level from 70% to nearly 97% (as good as the winners of that competition).By the end of this course, your confidence in creating a Convolutional Neural Network model in Python will soar. You'll have a thorough understanding of how to use CNN to create predictive models and solve image recognition problems.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy------------Below are some popular FAQs of students who want to start their Deep learning journey-Why use Python for Deep Learning?Understanding Python is one of the valuable skills needed for a career in Deep Learning.Though it hasnt always been, Python is the programming language of choice for data science. Heres a brief history: In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggetss annual poll of data scientists most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.Deep Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, its nice to know that employment opportunities are abundant (and growing) as well.What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledgeand further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning."
Price: 199.99 |
| "CNN for Computer Vision with Keras and TensorFlow in R" |
| "You're looking for a complete Convolutional Neural Network (CNN) course that teaches you everything you need to create a Image Recognition model in R, right?You've found the right Convolutional Neural Networks course!After completing this course you will be able to:Identify the Image Recognition problems which can be solved using CNN Models.Create CNN models in R using Keras and Tensorflow libraries and analyze their results.Confidently practice, discuss and understand Deep Learning conceptsHave a clear understanding of Advanced Image Recognition models such as LeNet, GoogleNet, VGG16 etc.How this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Convolutional Neural networks course.If you are an Analyst or an ML scientist, or a student who wants to learn and apply Deep learning in Real world image recognition problems, this course will give you a solid base for that by teaching you some of the most advanced concepts of Deep Learning and their implementation in R without getting too Mathematical.Why should you choose this course?This course covers all the steps that one should take to create an image recognition model using Convolutional Neural Networks.Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.What makes us qualified to teach you?The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 300,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.Below are the course contents of this course on ANN:Part 1 (Section 2)- Setting up R and R Studio with R crash courseThis part gets you started with R.This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. Part 2 (Section 3-6) - ANN Theoretical ConceptsThis part will give you a solid understanding of concepts involved in Neural Networks.In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 (Section 7-11) - Creating ANN model in RIn this part you will learn how to create ANN models in R.We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. Lastly we learn how to save and restore models.We also understand the importance of libraries such as Keras and TensorFlow in this part.Part 4 (Section 12) - CNN Theoretical ConceptsIn this part you will learn about convolutional and pooling layers which are the building blocks of CNN models.In this section, we will start with the basic theory of convolutional layer, stride, filters and feature maps. We also explain how gray-scale images are different from colored images. Lastly we discuss pooling layer which bring computational efficiency in our model.Part 5 (Section 13-14) - Creating CNN model in RIn this part you will learn how to create CNN models in R.We will take the same problem of recognizing fashion objects and apply CNN model to it. We will compare the performance of our CNN model with our ANN model and notice that the accuracy increases by 9-10% when we use CNN. However, this is not the end of it. We can further improve accuracy by using certain techniques which we explore in the next part.Part 6 (Section 15-18) - End-to-End Image Recognition project in RIn this section we build a complete image recognition project on colored images.We take a Kaggle image recognition competition and build CNN model to solve it. With a simple model we achieve nearly 70% accuracy on test set. Then we learn concepts like Data Augmentation and Transfer Learning which help us improve accuracy level from 70% to nearly 97% (as good as the winners of that competition).By the end of this course, your confidence in creating a Convolutional Neural Network model in R will soar. You'll have a thorough understanding of how to use CNN to create predictive models and solve image recognition problems.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech Academy------------Below are some popular FAQs of students who want to start their Deep learning journey-Why use R for Deep Learning?Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R1. Its a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, its not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means its easy to find answers to questions and community guidance as you work your way through projects in R.5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier and of course, itll also make you a more flexible and marketable employee when youre looking for jobs in data science.What is the difference between Data Mining, Machine Learning, and Deep Learning?Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledgeand further automatically applies that information to data, decision-making, and actions.Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning."
Price: 199.99 |
| "How To Make Games With Unity Software" |
| "Here you will find everything you need to start creating 2D computer games with the most popular game engine such as Unity. More than 70 step-by-step video tutorials on different topics will leave no chances for you not to make your first game! All you need is to install Unity and Visual Studio. Once it's done, buckle up and begin your journey to the exciting world of game development!Each video has a link to downloadable resources!"
Price: 29.99 |
| "Photoshop para Arquitetura" |
| "I Objetivo do cursoO objetivo do curso capacitar voc profissional ou estudante das reas de Arquitetura, Design de interiores e Paisagismo, que pretende aperfeioar suas tcnicas de representao de projetos, atravs de conceitos de diagramao e layouts utilizando a ferramenta Photoshop, durante as aulas voc aprender as ferramentas do Adobe Photoshop junto a tcnicas e conceitos de aplicao que so utilizados no mercado de trabalho.No fim do Curso voc conseguira transformar o modo de apresentar seus projetos acadmicos e profissionais."
Price: 39.99 |
| "3Ds Max para Arquitetura, Maquete eletrnica e Cenografia" |
| "O objetivo do curso capacitar profissionais da rea de Arquitetura, Design, Engenharia e Computao Grfica, que ir realizar Jobs da Empresa Decora atravs do trabalho Home-Office. No curso Institucional o aluno ter aulasEAD (Ensino distncia), alm de j incluso a instalao dos softwares, ter acesso as aulas e suporte com um instrutor para tirar duvidas e receber dicas em suas aulas, passando todo o contedo de aula especfico, ir tambm instruir o aluno como fazer as aulas a distncia e corrigir os exerccios de aplicao que ao longo do curso.Durante as ultimas aulas o aluno far o cadastro com a Empresa Decora da qual dar inicio aos seus Jobs com todo o suporte do instrutor da Impress3D."
Price: 19.99 |
| "Certificao ACP Autodesk AutoCad" |
| "Curso preparatrio para profissional ou estudante que pretende ter a Certificao ACP (Autodesk Certified Professional)Aqui voc ir tirar todas as duvidas sobre o contedo do Exame questo por questo, alm de ter simulados que iram ajudar no dia do Exame de certificao, a Certificao Autodesk trs oportunidades ao profissional alm de se destacar dos demais.Durante o Curso irei explicar sobre o Exame em Ingls e Portugus.Ferramentas utilizadas nas questes e todas as pegadinhas do Exame"
Price: 29.99 |
| "How to be Happy & High-Performance at Work in 30 Days" |
| "Get ready for highly-actionable takeaways that produce immediate results! Happiness at work is becoming the new normal in the corporate world. Using my experience as a corporate happiness coach in both the United States and Germany, I've created an online wellness program that's like having a personal Chief Happiness Officer cheer you on every day.Whether you're a team or an individual, we'll turn your stressful work schedule into the perfect training ground to learn-by-doing happiness science. In 30 days, we'll have strengthened the happiness muscles that give you superpowers at work and in life.Super-Speedy Course Summary: Here's What You'll Learn in 30 days!Note: this course is specifically designed to teach happiness science to busy people and each day features a 4-minute learn-by-doing video. You can enroll as an individual or as a team.Research finds emotions hold the lock and key to our intelligence, with 95% of our daily decisions being emotional.You'll learn a framework to better manage the instinctive stress response that overreacts during the work day and turns off the logical, thinking brain. As a result, you'll have tools to avoid burnout and to use stress as a catalyst for high-performance.Happiness science explains happiness is more than a feel good, fluff emotion, it's a physical state that optimizes our brain and body for peak performance.You'll learn to master the science-based fundamentals that make you happier at work and rocketboost: health, productivity, creativity, charisma, problem-solving, willpower, communication and more.Happiness is highly-contagious, essential for charismatic leadership and correlates with increasing profits.You'll learn how to be a hero for change in your office and spread a positive mood, without even saying a word.Hey Superhero,Welcome to a 4-minute daily adventure disguised as an online course about the science of happiness at work!Very soon, you'll receive a treasure map and have to defeat the villain that stands in between you and your superpowers.More on that later. But first, why is happiness now as famous in business as Lady Gaga is in music?Happiness is NOT just a random, feel-good emotional state that comes and goes as it pleases.Happiness is literally a physical state that indicates our brain is powered up and ready to give it's best performance.Science discovered that we are in control of our happiness and we can even learn how to be happier, especially at work.Here's a taste of what happiness can do for us at work, according to one of Harvard's happiness researchers, Shawn Achor:-happy teams are 31% more productive-happy salespeople sell 37% more-happy doctors are 19% faster and more accurate when making a diagnosisHappiness helps team access untapped talent and has a long list of benefits we didn't fully appreciate or know about until 20 years ago, when the official science of happiness (Positive Psychology) was born.In this course, we'll be going into detail on how to PRACTICALLY APPLY the science of happiness to supercharge your...- Productivity- Willpower- Creativity- Problem-solving Abilities- Charisma- Communication- Leadership Style- Team Dynamics- Social Relationships- Ability to Relax, Recharge & Avoid BurnoutThe good news: happiness is the holy grail of success and high-performance in business.The bad news: even though happiness at work is destined to be the new normal in the corporate world, there's one reason companies have failed to speedily adopt happiness principles: THEY'RE TOO BUSY.As a corporate happiness coach for companies like Deutsche Bank, I observed that the biggest barrier to creating a sustainable culture of happiness was the lack of consistency in applying happiness strategies long-term.This is a problem because happiness is just like a muscle and if you don't use it, you lose it!The good news about the bad news: This is why I've created Happy at Work(outs).My top secret sauce is taking the life-changing science of happiness and making it bite-sized for busy professionals!I take advantage of the fact that most people have a jam-packed schedule and use that as a realistic training backdrop to apply happiness strategies under pressure.Instead of teaching one big workshop, I've created the first learning-by-doing 30-day online course that turns profound happiness science into concise daily, actionable takeaways.Course participants will prime their day for high-performance by watching a 4-minute video (on average) in the morning that deconstructs happiness science and makes it practical.Because there's one key focus, this sets up the participant to start the day powerfully and masterfully builds their happiness muscles as they apply the lesson through the ups and downs and under pressure (the BEST way to LEARN).Remember the treasure map I mentioned? Here's the general outline of it and what you can expect in 30 days:Day 1 of the course starts on a Sunday of your choice and introduces ""the villain"" (cue suspenseful music).Day 2 of the course starts on the following Monday and launches the first week's theme about happiness fundamentals. It's important you do your best to watch the video on the day of the week assigned to it. This is because we'll anchor a happiness fundamental to each day of the week so that after the course ends, you'll have a structure to continue your happiness practices.On day 8, the program intensifies during the 4-minute videos when we cover high-performance, willpower and productivity.The third week begins on day 16 and we'll transition to the social aspects of happiness including leadership, charisma and communication.Finally, we reach a pinnacle on week 4 as we converge all the concepts by discussing creativity, problem-solving and mind relaxation.I'm excited you're here because above all, we're using science and circumstances at work to go on an internal journey that helps us explore something so profound and so personal to us - our happiness.As a child, happiness wasn't as elusive as it is now. What changed?It all comes down to these emotional muscles that become more practiced in stress than in happiness.With consistent effort, we can return to the child-like wonder with the advantage of a new, mature perspective that unleashes our superpowersnot just at work, but in life.Let the adventure begin!"
Price: 99.99 |
| "Mind Power Mastery GOLD" |
| "This 10 exclusive, step-by-step video tutorials will show you the tools, techniques and top tips to finally succeed and get results.Topics are:3 ways to get your emotions under controlSuprising ways the mind influences the bodyTricks to eliminate Procrastination and Maintain FocusHow to conquer your fears and face any challangeHow to get more from life by changing your mindsetHow to project the impression you want to giveHow to stay calm in any situationHow to tap into the power of your emotionsAnd much more!"
Price: 19.99 |
| "Mindful Eating: Savor food and Satisfy your hunger" |
| "If you have struggled with any of the following issues: Emotional eatingHave food cravings that seem to win every timeBeen on numerous diets to try to lose weightCan't stay on a diet because you don't have the willpowerThis Mindful/intuitive eating course will help you to increase your understanding of what to eat, when to eat, how much to eat, and to identify the underlying reasons of why you eat. It will help eliminate cravings, emotional eating, and to eliminate feelings of deprivation. Focusing on mindful/intuitive eating can help with weight loss. It does not require willpower or even counting calories in order for you to be successful with this approach. Instead, you will change your relationship with food that will end the dieting roller coaster. You will learn how to change your eating to a more mindful approach that will help you know when you are hungry and to help you choose foods that will provide the needed nourishment for your body. Mindful/inituitive eating also can increase your enjoyment and pleasure of food as you learn to use your senses as you eat.The course includes: a mindful eating exercise worksheets on the different topics such as recognizing hunger, using the hunger scale so you will know when to eat Mindful eating quiz Other worksheets will help you identify areas to focus on to become more mindful as you eat The course includes practical steps to take when dealing with emotional eating and puts you in control of the choices you will make with your foods and with your eating."
Price: 24.99 |
| "Fundamentals of Logistics, Supply Chain & Customer Service" |
| "Welcome to this 3 part course where we cover Logistics, Supply Chain and Customer Service. First, we'll start with Logistics where you'll learn the fundamental concepts of logistics and supply chain management. You'll learn how logistics work and the critical skills needed to be successful in this exciting field. Logistics is one of the most important function in business today. Any business that ships items can not succeed without logistics. Successful logistics provide a competitive edge against other organizations.We'll explore topics such as how logistics work, product distribution, transportation management, supply chain, inventory control, and much more.In part 2 of the course we'll cover Supply Chain, where you'll learn the fundamentals of supply chain. We'll go over what is involved in purchasing inventory and setting up supplier relationships, what you need to consider when deciding how to manufacture and design your product, and, lastly, how to address the logistics of distribution and delivery. We'll also get into the world of the supply chain manager The bonus 3rd course covers customer service. You'll learn about fundamental elements of customer service and explains how they can be applied in any organization and how a business can develop its customer service program to the highest level. You will learn proven techniques for delivering outstanding customer service. We'll cover how to create a stronger relationship with customers, such as practical ways you can hold on to your valuable customer base and win repeat business."
Price: 24.99 |
| "iOS 12, xcode 10, SWIFT 4.2 beginner to paid freelancer" |
| "RequirementsNo programming experience needed - I'll teach you everything you need to knowA Mac laptop or iMac and XCode 10 installedNo paid software required - all apps will be created in Xcode 10 (which is free)DescriptionWelcome to the world's most comprehensive course on iOS development. This course is designed like an in-person coding bootcamp to give you the most amount of content and help with the least amount of cost.NOPRIORCODINGEXPERIENCEREQUIREDHere are some of the things you'll be able to do after taking this course:Submit apps to the app storeUnderstand programming &basic algorithmsWork fluently with Swift 4.2 &iOS 12Apply to jr iOS development jobsWork as an iOS contractor/FreelancerWho this course is for:People who want to build apps!Those who want to create their own startupThose looking to get a full time job as a developerBusiness ownersStudents &teenagersPeople who want to make money building appsIf you are absolutely new to programming you should start at the beginning of the course and go to the end.I've designed this course to take you down a guided learning path. Lectures are not broken out by specific topics.You build apps and then learn a ton of principles within those apps.So don't skip around!If you are a student of iOS 10:From Beginner to Paid Professional then feel free to start taking this course.Keep in mind that this iOS 11 course has a bunch of new apps. So there is a HUGE benefit to ALSOgo through the iOS10 course - or you'll miss out on awesome content.Here are a few things you'll learn:Swift 4.2Xcode 10Interface BuilderMaps &GPSCore DataTables &DataAnd a lot more...Who this course is for:If you are an absolute beginner to coding take this courseIf you are an absolute beginner to iOS or mobile development then take this course"
Price: 19.99 |
| "Curso de Windows 10 Essencial" |
| "Se esse o seu primeiro contato com o Sistema Operacional Windows 10 no se preocupe o curso voltado principalmente para os usurios iniciantes e para os resistentes as novas tecnologias. Apresentarei o sistema de forma simples, prtica e divertida utilizando uma linguagem de fcil compreenso para todos. O treinamento est dividido em mdulos onde cada mdulo tratar de um tema especfico. Comearemos com uma introduo onde voc, usurio, aprender sobre o sistema operacional, as edies e as verses do Windows 10. Seguiremos para o sistema propriamente dito, conheceremos a interface, boas prticas de navegao, as funes de ligar e desligar, os atalhos e muito mais.No universo dos arquivos, aprenderemos a organiz-los de forma higinica e objetiva atravs do Explorador de Arquivos, um aplicativo do sistema Windows. Passaremos ento aos aplicativos, os objetos que do vida ao sistema e fazem a alegria dos usurios. Vamos saudar o novo sdito da Microsoft, o navegador Microsoft Edge, e explorar suas novas funcionalidades.Seguindo, conheceremos uma moa muito experta e audaciosa chamada Cortana, que nos ajudar a realizar algumas tarefas rpidas e interessantes. Sincronizaremos o sistema aos smartphones e redes para realizarmos compartilhamentos e transferncias de dados.Vamos limpar o ambiente e ornament-lo com papis de paredes agradveis, cores e sons. Cuidaremos para que tudo esteja protegido e atualizado, integraremos e individualizaremos o acesso dos amigos e da famlia ao mesmo computador, veremos algumas configuraes disponveis no sistema e finalizaremos com algumas ferramentas teis para o dia a dia."
Price: 99.99 |
| "Curso Essencial de Smartphone Android" |
| "Mesmo trabalhando com um telefone inteligente, as vezes voc se sente um tolo, no mesmo? Que controvrsia! Mas no se preocupe, essa sensao envolve muitas pessoas e voc no est sozinho nessa caminhada. Quando a tecnologia avana, muitas vezes, deixa os velhos mortais para trs. Voc pagou um bom dinheiro pelo seu telefone - por que no usar todos os seus recursos? Se voc um usurio novato no mundo dos smartphones, pode pensar que eles so um pouco assustadores ... com tantos jarges tcnicos, configuraes complicadas e um universo inteiro de aplicativos para serem escolhidos. Nesse curso, abordarei os conhecimentos necessrios para voc se tornar um usurio prtico e bem sucedido no Android, o Sistema Operacional da Google e o mais utilizado ao redor do mundo.Se est sua primeira vez no Sistema Android, no se preocupe, o curso voltado principalmente para o pblico iniciante, e vai apresentar o sistema de forma simples, prtica e divertida utilizando uma linguagem de fcil compreenso para todos. Portanto, fique a vontade para convidar o pai, a me, a v o v ou aquela pessoa que voc conhece que bem resistente as novas tecnologias.Comearemos por uma introduo, para voc usurio, entender a evoluo desses dispositivos e se familiarizar com esse novo mundo. Em seguida, vamos interagir com esse rapazinho e explorar o fantstico mundo dos aplicativos, esses pequenos objetos que do vida e trazem alegria para o seu telefone. Vamos receber ligaes e realizar chamadas para um ou vrios usurios ao mesmo tempo. Colocaremos em ordem o seu catlogo de endereos facilitando os seus contatos profissionais, dirios ou de lazer. Iaremos as velas para navegar nas guas turbulentas da internet e experimentaremos alguns aplicativos interessantes que iro trazer comodidade para voc.Vamos planejar o seu dia agendando compromissos, alarmes e notas. Organizaremos os seus arquivos na nuvem, no celular e no computador. Manteremos tudo protegido para que o alheio no invada ou vasculhe o seu aparelho.Daremos um toque de estilo e personalidade ao seu amigo com cores, sons e fotos e finalizaremos com algumas dicas de usabilidade."
Price: 99.99 |
| "Curso Essencial de Excel 2019" |
| "O Microsoft Excel uma poderosa ferramenta de produtividade que oferece infinitas possibilidades para manter os processos automatizados e organizados tornando-se, totalmente, indispensvel para empresas dos mais diversos portes e segmentos, afinal, so tantas as suas funes e recursos, que realmente no h como pensar em processos empresariais bem elaborados, sem pensar em organizar, praticamente todos, em planilhas.O software, que faz parte da Sute Office da Microsoft, oferece diversas funcionalidades que facilitam a vida nos escritrios, seja para utilizao como ferramenta de gesto financeira, montagem de planilhas ou para diferentes clculos de controle.Por isso, quem deseja entrar e se destacar no mercado de trabalho precisa entender que dominar o Excel pode ser o diferencial para uma carreira bem-sucedida. Com os conhecimentos adquiridos nesse curso, voc dar um salto de produtividade e se sentir seguro para trabalhar com essa ferramenta.Nessa aventura, veremos algumas aes bsicas, como o gerenciamento de linhas e colunas, planilhas, insero de dados e frmulas simples. Trabalharemos com clculos de porcentagens, referncias as clulas, utilizao de funes, aparncia da planilha, uso de sequncias, classificao e filtragem de dados, o trabalho com grficos, imagens e minigrficos.Abordaremos o uso de espaos de trabalho e exibies personalizadas, auditoria de frmulas, conceitos e operaes bsicas com bancos de dados, dinamizao de planilhas, importao de dados, anlise de dados, uso de macros, formulrios personalizados, proteo dos dados e muito mais.Se esta a primeira vez que voc usa o Excel, seja bem-vindo ao clube. Agora, se voc um usurio experiente, mantenha a mente aberta e aproveite a oportunidade para ratificar seus conhecimentos.Curso Essencial de Excel 2019, todo o conhecimento necessrio para voc se tornar um usurio prtico e bem-sucedido no Microsoft Excel."
Price: 99.99 |
| "Curso Essencial de Access 2019" |
| "Voc se encontra em um mar de planilhas, incapaz de encontrar rapidamente as informaes teis que voc precisa na pilha de dados que voc coletou? Est gerenciando um novo negcio e gostaria de ter a certeza de que est mantendo suas atividades de coleta de dados organizadas desde o incio?Se voc respondeu sim para qualquer uma dessas perguntas, esse um timo momento para comear a pensar em utilizar um Sistema Gerenciador de Banco de Dados e a maneira mais fcil de comear com o Microsoft Access.O Microsoft Access fornece todas as ferramentas que voc precisa para organizar os seus dados, recuperar rapidamente informaes pertinentes e preparar relatrios atualizados e fceis de ler. Ele ajuda voc a extrair informaes relevantes e esclarecer insights que poderiam estar ocultos em seus dados.Comearemos com uma breve teoria sobre banco de dados, o conhecimento necessrio para voc construir um projeto slido e eficaz. Em seguida, vamos construir as tabelas, os objetos mais importantes do sistema, trabalharemos com os tipos de dados e ajustaremos a forma mais adequada de utiliz-los para cada propsito.Aprenderemos a pensar sobre os dados de uma perspectiva relacional. Abordaremos as chaves de ligao, normalizao e a estruturao correta dos dados.Faremos a mgica acontecer ao introduzirmos as consultas, onde transformaremos os dados brutos em informaes teis. Atravs delas poderemos manipular os dados em um nmero infinito de configuraes o que nos proporcionar analisar os resultados de diferentes perspectivas.Criaremos formulrios os objetos que fornecero a interface visual principal para as operaes que os usurios finais faro no sistema e que possibilitaro a insero dos dados nas tabelas do sistema.Organizaremos os registros em documentos fceis de ler com as informaes primordiais para uma tomada de deciso atravs dos Relatrios. Para tudo ficar mais dinmico e interativo adicionaremos as Macros que permitem automatizarmos tarefas e adicionarmos funcionalidades aos formulrios, relatrios e controles, sem precisarmos escrever uma nica linha de cdigo.Para finalizar, abordaremos as ferramentas de manuteno, documentao, desempenho e a possibilidade de trabalho com multiusurios.H vrias consideraes a serem feitas ao construirmos um banco de dados que ser utilizado por outras pessoas. Como futuro designer de banco de dados, voc aprender os passos essenciais para guiar os usurios pelos fluxos de trabalho que estabelecer, ajudando-os a inserir os registros corretamente e a navegar com eficincia pelo sistema."
Price: 99.99 |
| "Curso Essencial de Wordpress" |
| "Alguma vez voc j quis iniciar um negcio paralelo, mas hesitou porque sabia que precisaria de um site? Ou perdeu clientes porque sua pequena empresa ainda no possui um?Se voc no um especialista em tecnologia, a criao de um site pode parecer confusa e demorada se voc fizer isso sozinho ou cara se voc contratar outra pessoa para faz-lo.Essas preocupaes so compreensveis. No entanto, estamos em 2019 na era da facilidade tecnolgica o que torna a construo de um site tarefa simples e muito mais fcil do que voc imagina, especialmente se voc utilizar o Wordpress para configur-lo. O Wordpress um poderoso Sistema de Gerenciamento de Contedo (CMS), o que significa que foi projetado para ajud-lo a organizar e exibir o contedo em seu site. Com ele, voc pode montar praticamente qualquer tipo de site desde um simples blog at um magnfico comrcio eletrnico.Com sua interface intuitiva e fcil de usar este fantstico aplicativo atualmente responsvel por criar e gerenciar mais de 30% de todos os sites da internet, trabalhando eficientemente para marcas populares como Sony, Microsoft, Times dentre outras.Flexvel e com incrvel capacidade de expanso permite aos usurios criarem as funcionalidades dos seus sonhos com a instalao de diversos Plugins disponveis no site oficial.Por seu prestgio o Wordpress resultou em uma enorme, prspera e acolhedora comunidade de desenvolvedores quase sempre feliz em ajudar. Por ser cdigo aberto, gratuito, seguro, com inmeras pessoas trabalhando para torn-lo melhor e com diversas funcionalidades a ferramenta sem dvida uma soluo de alta qualidade.Nesse curso abordarei todos os conhecimentos necessrios para voc se tornar um usurio prtico e bem-sucedido no Wordpress. Comearemos por uma introduo onde voc usurio ir se familiarizar com os termos, caractersticas, funcionalidades e a interface do aplicativo.Em seguida, vamos configurar o Wordpress para criarmos os principais objetos: publicaes, pginas e multimdia. Abordaremos os tipos de hospedagem e os domnios os servios necessrios para disponibilizarmos o site online.Exploraremos o novo editor visual, incorporado na verso atual do aplicativo, conhecido como Gutenberg, e suas incrveis funcionalidades.Personalizaremos a aparncia do Wordpress com menus, widgets e temas e estenderemos suas funcionalidades atravs dos plugins.Trabalharemos com contas de usurios, ferramentas de importao e exportao, arquivos e pastas e finalizaremos com um projeto que ser publicado e otimizado online. No importa qual seja sua empresa ou profisso, um site pode gerar negcios, promover comunicao entre clientes e possveis clientes e entregar fortes mensagens de marketing - seja sua empresa pequena, mdia ou grande, bem estabelecida ou totalmente nova. Ter um site no apenas vender seus produtos e servios tambm fornecer algo de valor aos clientes em potencial.Sites funcionam e com o Wordpress voc est apenas alguns cliques do site que sempre desejou."
Price: 99.99 |
| "Akc konumak isteyenler iin ingilizce renme seti" |
| "ngilizce renmek istiyorsanz ama hangi metodu kullanmalym, nasl en hzl renebilirim ve saire sorularnz varsa, bu kurs sizin iin !4 dil konuan bir retmen olarak ahsen bir ok metod denedim, size de tm bu deneyimden faydalanarak bu kursu hazrladm ve onu gelitirmeye devam etmekteyim. Bu kursta ncelikle ingilizcede en sk kullanlan kalplar reneceksiniz. Bu, hemen az da olsa konuabilmenizi salayacak, dilin yapsn, trkeden ne kadar farkl olduunu grmenizi salayacak ve nasl almamalsn, nasl dnmemeniz gerektiini retecek. Ardndan, anlayabilmeniz ve ingilzceye alk olmanz, gramer anlamanz ve kelime renmeniz adna tm gramer konular tek tek retilecek. yle ki, her dersin banda kelimeler verilecek. Ardndan bu kelimelerle rnekler verip analiz edilecek ve gramer anlatlacak. Bu ekilde gramer kurallar bilmeden nce siz bu gramer yaplar anlyor ve kullanabiliyor olacaksnz! En gzel ksm sona braktk - o da tm rendiimiz kelimeleri unutmamak adna ve anladmz gramer yaplar kullanabilmek adna - cmle kuracaz. nceki aamada verilen ingilizce rnekler imdi birlikte, adm adm, trkeden ingilzceye evirip elde edeceiz! Bu kursta greceiniz gibi - kelime renme, bu kelimelerin nasl kullanabildiini, cmle anlama, tm gramer yaplar anlama, ve tm bu anladklarnz ve rendiklerinizi kullanarak cmle kurabilme siz artk hem anlayabiliyor hem konuabiliyor olacaksnz. stelik en sk kullanlan 500'den fazla kalplarla konumanz ana dili ingilizce olan kiinin gibi olacak!"
Price: 279.99 |
| "Leading and Managing Today" |
| "Your success as a leader is based on your ability to lead from within. After all, if you can't lead yourself, how can you lead others?! This course focuses on the importance of self-awareness, the role of the empowering leader, the differences/similarities between leadership and management, leadership styles and leadership values and principles. The course features lots of opportunities for self-reflection which is a critical factor for leaders to become more self-aware and effective in their roles. Besides lectures by the author Dr Richard Carter, there are links to other global leadership experts such as Bill George, Bev James, Lars Sudmann and John Kotter. And there are a few quizzes to make it more fun and engaging. Finally, you'll be introduced to a new concept ""The Organic Leader"" that highlights the key skills and behaviors leaders need to be successful in today's world."
Price: 99.99 |
| "Cmo optimizar el tiempo y dejar de procrastinar." |
| "Tienes tantos sueos y objetivos, pero no te alcanza el tiempo o no encuentras los deseos para poner manos a la obra. Te has dado cuenta de que ya es un problema grave. Este curso es la solucin. De manera didctica y sencilla, te proporciona, paso a paso, los recursos para optimizar tu tiempo, cumplir tus metas y dejar de procrastinar. Al terminarlo, habrs empezado a ver resultados concretos en tu comportamiento y podrs seguir aplicndolo en el futuro, en todos los aspectos de tu vida.No esperes ms, no procrastines esta decisin. Smate al curso!"
Price: 24.99 |
| "Cmo hablar en pblico de manera exitosa." |
| "Tienes frente a ti una importante presentacin. Conoces el contenido perfectamente y ests bien preparado. Debera ser un xito. Salvo por un detalle, un detalle que puede llevar todo al fracaso: careces de habilidades para comunicar en pblico tus conocimientos. Tus propuestas son excelentes y pueden beneficiar a miles de personas. Las has analizado concienzudamente y sientes pasin por ellas. Todos deberan aceptarlas. Salvo por un detalle, un detalle que puede provocar la incomprensin o el rechazo: careces de habilidades comunicativas para conectar con el pblico.Ambos escenarios pueden ser sumamente frustrantes, pues de nada valen los conocimientos y el trabajo duro, si no somos capaces de comunicarlos a otras personas. Hablar en pblico es, para muchos, un reto originado por varias causas: desde el desconocimiento de la tcnica hasta el temor.Este curso, de manera didctica y explcita, est justamente diseado para vencer todas estas dificultades. Al completarlo, tus habilidades para dirigirte a audiencias pequeas o masivas habrn mejorado notablemente, en todos lo elementos que inciden en el proceso.Entonces, no esperes ms. Smate al curso! El xito te espera."
Price: 29.99 |
