| "Visual Studio Code Extension Development" |
| "Hello and welcome to this course. This course is specialized in the creation process of VS Code extension. Visual studio code is a lightweight code editor that works cross platform. In addition, it is widely popular and used by many. As a code editor, for sure you can extended it and add more features to it. With VS Code, it is a piece of cake. They provide you a Yeoman Generator which will make your life (and made my life) way easier. In addition, the great amount of open source projects and the already existed huge market place and relatively new can help you a lot. You can referee to already create extension and you can get a good footstep in the marketplace and establish a brand. For sure, you are wondering is it easy to develop a VS Code extension? Do I have to learn a new language? Is it easy or Hard :( ?? Well, the documentation is so great! You can find every method documented. Also, many real world examples to follow and try. Not that only, you can develop your extension with TypeScript or even JavaScript no worries at all :) Hope you are now relieved and know that VS Code development is a piece of cake. Now, in this course, we will take you from the ground up to reach your ultimatle goal. Maybe you want to create the next Resharper, we have got you covered! This course will explain many of the api that you might need to access and execute. Commands are easy to remember and execute. You can learn them quick and easy. And also, we are here for you to support you throughout your development process. You can for sure ask for help and we will be more than happy to support you. So what are you waiting for? Join us Now!!!!"
Price: 199.99 |
| "Scrum With Azure DevOps" |
| "Hello and welcome to the Scrum with Azure DevOps Course. In this course, we will learn the basics of Scrum and it's important parts.Scrum is a framework that can help you manage requirements and work between different team members. With the using of Scrum, you can have better control of the work and the different requirement. The roles of the team and their required work are established and known for everyone. Scrum is based on three key factors which are parts of the empirical process: transparency, inspection, and adaptation. Transparency indicates that every part of the process is visible for everyone. Inspection used to detect results and enhance them by using various activities such as Sprint Review and Retrospective. Adaptation means that the process if it goes out of control it must be changed to have the desired results.Scrum has three main members: Scrum Master, Product Owner, and the Development team. The Scrum Master is a servant leader for the rest of the team to help them through the project and remove obstacles out of the way so they can achieve the desired results. Product Owner is the person that is responsible for maximizing the results of the development team. He/She selects the suitable requirements to be done and make sure that the results are aligned with the project objective. The Development team are the people responsible for the work to achieve the project goals.From a personal experience using Scrum is one of the effective ways to manage your work and your projects. It makes the process simple and effective for everyone.Azure DevOps is one of the new products that Microsoft introduced lately and it's equipped with many tools and features that will make your work with Software Projects much easier along with Scrum. Also, the nice thing that you can use it for free for a certain limit but overall it shall be a great experience."
Price: 199.99 |
| "Extraordinary days" |
| "This training is abouttriggering your subconscious mind to generate an extraordinary day .In this training you will find an audio script that will help youcreate an extraordinary day .This training has been tested and proven to produce frompositive event to extraordinary event .Every individual will respond differently to the the audio.This training will :-helpyou be in positive state of mind-guide you to have extraordinary moments-guide to haveextraordinary days-makeyouenjoy life beautiful surprises"
Price: 199.99 |
| "85 amazing hypnosis bundle" |
| "This training is about triggering your subconscious mind to generatemultiple amazing days.In this training you will findabout85 differentaudio scriptsthat will help you create great days!GET 85 audio mp3sOFTOLIVEALLDAYSYOUDREAMEDOFYou get all these hypnosis audio scripts to generate all these days :A productive day , hyper productive ;a happy day ,a focused day ;a smart day ;a wise day ; a super creative day ,a problem solving day ,a sport day , an adventure day ,a business day ,a deep thinking day ,a aha moments days ,a serendipity day ,a social day , a funny day ,a relaxed day ;a romantic day ,a rich day ;a cheerful day ;a mysterious day ,an exotics day, a learning day , a seduction day ,a peaceful day ,a super healing day ,a very successful day ,a wining day, a victory day ,an artistic day ,a laughing day ,a love day , a diet day;an innovation day ,a solution day , a breathing day , an organized day, a thrilling day , asurprise days ,a rising day , a nature day , a wonder day ,a discovery day, an artistic day ,a breakthroughs day, an ecstasy day , a vigilance day ,a kindness day ,anenergetic day,a lucky day, a deals day , a closing sales day , a genius day ,an advanced day , a reading day , a studying day , a planning day , a healthy food day ,a exhilarating day , a meditation day, abrave day , an energy recharging day ,a fantastic day , a losing weight day , a increased positive sensation day , a gift day , a blessed day, an exponential day , a unforgettable day ,an accomplishment day , an energetic day, an euphoric day , a heavenly day, an enchanted day ,a fascinating day ,a jubilant day ,a glamorous day ,a prosperous day, a wealthy day , a luxury day , a limitless day ,a giant day, an awakening day, a fantastic day , a magical day, a great memories day , a gratitude day , a new day , a perfect day ,a singular day, an unimaginable day, a visionary day, an unreal day , an introspection day , an exalted day , a noble day , an ambitious day , an ideal day ,a stellar day,a celestial day , a sublime day, a transcendental day, virtuous day , a pure day, a flawless dayTry it today and enjoy the freedom of being were you want to be .This training will :-helpyou be in positive state of mind-guide you to have amazing daysTry it today , and live amazing days !"
Price: 199.99 |
| "brave days: subconscious programming" |
| "What are the most afraid of ? what's your greatest fear ?We all have fears ,but some fear are useless ,and may block your way to a better and much more enjoyable life.Than your journey have to start here ,and transform your days into brave days.Brave days training includes a hypnosis audio that will guide your subconscious mind to generate a beautiful brave day."
Price: 199.99 |
| "Blessed days : subconscious programming" |
| "Do you want to feel more love from above?Do you want to enjoy moreblessings and feel much closer to a higher power ?Than this training is for you .This training will help you generate a blessing day .the training include a hypnosis audio that help you create a blessing day, by programming your subconscious mind ."
Price: 199.99 |
| "Enchanted days : subconscious programming" |
| "Do you want to enjoy an enchanted day ?Do you want to feel enchanted ?Than this training is for you .This training will provide you with a hypnosis audiothat will allow you to experience an enchanted day .In this training you will learn bases or hypnosis and then experience the magic of hypnosis with an audio.Do you reallywantto experience anenchanted day ?"
Price: 199.99 |
| "ArcGIS Desktop For Spatial Analysis: Go From Basic To Pro" |
| "I WANNA LEARN SPATIAL DATA ANALYSIS, BUTI found most spatial data books & manuals vagueThere are no courses that actually teach me how its actually doneAvailable resources are expensive & Icant afford themI want to get a job in the field ofGIS and geospatial analysisI work in the field of ecology orquantitative social sciences orhydrology orcivil engineering orgeographyIf you found yourself in one of these situations, then..IVE GOT GREAT NEWS FOR YOU!Over the past few months, I have published multiple courses on Udemy around this topic which will be tremendously helpful to you & most important of all AFFORDABLE!Today, Ive created yet another powerful resource for you!In this course, over 50+ hands-on and practical lecture, I will help you master the most common and important geo-processingtasks that can beperformed with ArcGIS Desktop, one of THE MOST important GIS software toolsavailable.I will also show you the kind of questions answered through Spatial Analysis & data used.THE STEPS ILL WALK YOU THROUGH:First of all, well start some basic GIS tasks like Zooming.Then, well move into more complex processing tasks like Geo-Statistics.Well also deal with some theoretical concepts related to Spatial Data Analysis, and then well focus on implementing some of the most common GIS techniques (all the way showing you how to execute these tasks in ArcGIS Desktop).The stuff youll learn from this course will be extremely useful in terms of you being able to implement it on future Spatial Data projects youll be working on (in a variety of disciplines from ecology toengineering).LEARN FROM AN ACTUAL EXPERT IN THIS AREA:My name is MINERVA SINGH. I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished my PhD at Cambridge University (Tropical Ecology and Conservation). I have SEVERAL YEARS OF EXPERIENCE in analyzing REAL LIFE DATA from different sources in ArcGIS Desktop.Ive also published my work in many international peer reviewed journals.HERE IS HOW MY COURSE IS UNIQUE..My course is a HANDS ON TRAINING with REAL data.Its a step by step course covering both the THEORY & APPLICATION of Spatial Data Analysis.I teach Practical Stuff that you can learn quickly and start implementing NOW.This is one of the most comprehensive courses on this topic. I advise you to take advantage of it & enroll in the course TODAY!TAKE ACTION TODAY! I will personally support you and ensure your experience with thiscourse is a success. I answer all questions put to me and guide my students when they get stuck.Please make sure you have access to ArcGIS before enrolling"
Price: 199.99 |
| "Satellite Remote Sensing Data Bootcamp With Opensource Tools" |
| "ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT BASIC SATELLITE REMOTE SENSING. Are you currently enrolled in either of my Core or Intermediate Spatial Data Analysis Courses?Or perhaps you have prior experience in GIS or tools like R and QGIS?You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?The next step for you is to gain profIciency in satellite remote sensing data analysis.MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING DATA WITH OPEN SOURCE TOOLS! My course provides a foundation to carry out PRACTICAL, real-life remote sensing analysis tasks in popular and FREE software frameworks with REAL spatial data. By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.Why Should You Take My Course?I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life spatial remote sensing data from different sources and producing publications for international peer reviewed journals.In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote sensing can help us answer. This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis. Remote sensing software tools are very expensive and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at a risk of prosecution), you will learn to carry out some of the most important and common remote sensing analysis tasksusing a number of popular, open source GIS tools such as R, QGIS, GRASS and ESA-SNAP.All of which are in great demand in the geospatial sector and improving your skills in these is a plus for you.This is an introductory course, i.e. we will focus on learning the most important and widely encountered remote sensing data processing and analyzing tasks in R, QGIS, GRASS and ESA-SNAPYou will also learn about the different sources of remote sensing data there are and how to obtain these FREE OF CHARGE and process them using FREESOFTWARE.In addition to all the above, youll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!ENROLL NOW :)"
Price: 199.99 |
| "Applied Statistical Modeling for Data Analysis in R" |
| "APPLIED STATISTICAL MODELINGFOR DATA ANALYSIS IN RCOMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing?Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then youre going to love this course!I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis.With this course, Iwant to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only one course you need tocomplete in order to get a head start in practical statistical modeling for data analysis using R.My course has 9.5 hours of lectures andprovides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks. GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! AND GETAFREE VIDEOCOURSEINMACHINELEARNINGASWELL!This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous trainingIreceived at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.To be more specific, heres what the course will do for you: (a) It willtake you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R. (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling. (c) It willIntroduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation. (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis. (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results.The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects immediately!TAKE ACTION NOW :) Youll also have my continuous support when you take this course just to make sure youre successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case youre not completely satisfied with the course.TAKE ACTION TODAY! I will personally support you and ensure your experience with thiscourse is a success."
Price: 199.99 |
| "Species Distribution Models with GIS & Machine Learning in R" |
| "Are You an Ecologist or Conservationist Interested in Learning GIS and Machine Learning in R?Are you an ecologist/conservationist looking to carry out habitat suitability mapping?Are you an ecologist/conservationist looking to get started with R for accessing ecological data and GIS analysis?Do you want to implement practical machine learning models in R?Then this course is for you! I will take you on an adventureinto the amazingof field Machine Learning and GIS for ecological modelling. You will learn how to implement species distribution modelling/map suitable habitats for species in R.My name isMINERVA SINGHand i am an Oxford University MPhil (Geography and Environment) graduate. I finishedaPhD at Cambridge University (Tropical Ecology and Conservation). I have several yearsofexperience in analyzing real life spatial data from different sources and producing publications for international peer reviewed journals.In this course, actual spatial data from Peninsular Malaysia will be used to give a practical hands-on experience of working with real life spatial data for mapping habitat suitability in conjunction with classical SDM models like MaxEnt and machine learning alternatives such as Random Forests. The underlying motivation for the course is to ensure you can put spatial data and machine learninganalysis into practice today. Start ecological data for your own projects, whatever your skill level andIMPRESSyour potential employers with an actual examples of your GIS and Machine Learning skills in R.So Many R basedMachine Learning and GISCourses Out There, Why This One?This is a valid question and the answer is simple. This is the ONLY course on Udemy which will get you implementing some of the most common machine learning algorithms on real ecological data in R. Plus, you will gain exposure to working your way through a common ecological modelling technique- species distribution modelling (SDM) using real life data. Students will also gain exposure to implementing some of the most common Geographic Information Systems (GIS) and spatial data analysis techniques in R. Additionally, students will learn how to access ecological data via R.You will learn to harness the power of both GIS and Machine Learning in R for ecological modelling.I have designed this course for anyone who wants to learn the state of the art in Machine learning in a simple and fun way without learning complex math or boring explanations. Yes, even non-ecologists can get started with practical machine learning techniques in R while working their way through real data.What you willLearn in this CourseThis is how the course is structured:Introduction Introduction to SDMs and mapping habitat suitabilityThe Basics of GIS for Species Distribution Models (SDMs) You will learn some of the most common GIS and data analysis tasks related to SDMs including accessing species presence data via RPre-Processing Raster and Spatial Data for SDMs- Your R based GIS training and will continue and you will earn to perform some of the most common GIS techniques on raster and other spatial dataClassical SDM Techniques- Introduction to the classical models and their implementation in R (MaxENT and Bioclim)Machine Learning Models for Habitat Suitability- Implement and interpret common ML techniques to build habitat suitability maps for the birds of Peninsular Malaysia.It is apractical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts . However, majority of the course will focus on implementing different techniques on real data and interpret the results. After each video you will learn a new concept or technique which you mayapply to your own projects.TAKE ACTION TODAY! I will personally support you and ensure your experience with thiscourse is a success.And for any reason you are unhappy with this course, Udemy has a 30 day Money Back Refund Policy, So no questions asked, no quibble and no Risk to you. You got nothing to lose. Click that enroll button and we'll see you in side the course."
Price: 149.99 |
| "Complete Data Science Training with Python for Data Analysis" |
| "Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & MoreTHIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS: It's A Full 12-Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep Learning In Python! HERE IS WHY YOU SHOULD TAKE THIS COURSE:First of all, this course a complete guide to practical data science using Python...That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python-based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE!But, first things first, My name is MINERVA SINGH and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.Over the course of my research, I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning... This gives the student an incomplete knowledge of the subject. This course will give you a robust grounding in all aspects of data science, from statistical modelling to visualization to machine learning. Unlike other Python instructors, I dig deep into the statistical modelling features of Python and gives you a one-of-a-kind grounding in Python Data Science! You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning-based models using PythonDISCOVER 12 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON DATA SCIENCE (INCLUDING): A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda Getting started with Jupyter notebooks for implementing data science techniques in Python A comprehensive presentation about basic analytical tools- Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, Broadcasting, etc. Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data How to Pre-Process and Wrangle your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc. Creating data visualizations like histograms, boxplots, scatterplots, bar plots, pie/line charts, and more! Statistical analysis, statistical inference, and the relationships between variables Machine Learning, Supervised Learning, Unsupervised Learning in Python Youll even discover how to create artificial neural networks and deep learning structures...& MUCH MORE!With this course, youll have the keys to the entire Python Data Science kingdom!NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:Youll start by absorbing the most valuable Python Data Science basics and techniques... I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real life.After taking this course, youll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python. Youll even understand deep concepts like statistical modelling in Pythons Statsmodels package and the difference between statistics and machine learning (including hands-on techniques). I will even introduce you to deep learning and neural networks using the powerful H2o framework!With this Powerful All-In-One Python Data Science course, youll know it all: visualization, stats, machine learning, data mining, and deep learning! The underlying motivation for the course is to ensure you can apply Python-based data science on real data and put into practice today. Start analyzing data for your own projects, whatever your skill level and IMPRESS your potential employers with actual examples of your data science abilities.HERE IS WHAT THIS COURSE WILL DO FOR YOU:This course is your one shot way of acquiring the knowledge of statistical data analysis skills that I acquired from the rigorous training received at two of the best universities in the world, a perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One. This course will: (a) Take students without a prior Python and/or statistics background from a basic level to performing some of the most common advanced data science techniques using the powerful Python-based Jupyter notebooks. (b) Equip students to use Python for performing different statistical data analysis and visualization tasks for data modelling. (c) Introduce some of the most important statistical and machine learning concepts to students in a practical manner such that students can apply these concepts for practical data analysis and interpretation. (d) Students will get a strong background in some of the most important data science techniques. (e) Students will be able to decide which data science techniques are best suited to answer their research questions and applicable to their data and interpret the results.It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, the majority of the course will focus on implementing different techniques on real data and interpret the results. After each video, you will learn a new concept or technique which you may apply to your own projects. JOIN THE COURSE NOW!#data #analysis #python #anaconda #analytics"
Price: 199.99 |
| "Project Based Python Programming For Kids & Beginners" |
| "Beginners and KidsCan NowLearnPython the Funand Easy WayTeach yourself (and your kids) to code fungames, graphics and GUI in Python, the powerful programming language used at tech companies and in academia.Unlike the other courses and books out there, this course provides a rare opportunity to learn the graphics and UX (User Experience) sides of Python even as a beginner! Unlike the many other Python courses on Udemy, this course introduces you to this computer language by drawing shapes, coding a simple game, and designing GUIs (Graphic User Interfaces), including a functional GUI for a temperature converter app.Gain a Firm Foundation in Python GUI ProgrammingLearn the basics of Python game programming Craft elegant and useful Python GUIs Create simple and practical applications in Python Explore the world of Python graphic designIf you want to learn to code, Python GUIs are the best way to start!I designed this programming course to be easily understood by absolute beginners and young people. We start with basic Python programming concepts. Reinforce the same by developing games, graphics and GUIs. And finally we willdevelop a practical temperature converter app using Python.Why Python?The Python coding language integrates well with other platforms and runs on virtually all modern devices. If youre new to coding, you can easily learn the basics in this fast and powerful coding environment. If you have experience with other computer languages, youll find Python simple and straightforward. This OSI-approved open-source language allows free use and distribution even commercial distribution.Can You Build a Career with Python?Absolutely! On average, U.S. Python developers earn $109,000 per year. This powerful and widely-used language could be your or your child's ticket to a better life. With the rigorous grounding you get from this course, youll have the knowledge and confidence to step into higher-level Python courses.How Can You Use Python?Once you gain a basic knowledge of Python through this course, you can explore a diverse range of programming specialties: Build Desktop/Laptop GUIs Design Exciting and Immersive Games Develop Websites and Apps Analyze Scientific and Statistical Data Create Educational Software Access and Organize Databases Manage NetworksWho Uses Python?This course gives you a solid set of skills in one of todays top programming languages. Todays biggest companies (and smartest startups) use Python, including Google, Facebook, Instagram, Amazon, IBM, and NASA. Python is increasingly being used for scientific computations and data analysis.You Can Start Right Away, Without Prior ProgrammingExperienceDetailed instructions have been provided with regards to Python installation and getting started with Microsoft Visual Code, a powerful programming IDLE that will be a valuable tool for your programming journey. Hands-on coding instructions have been provided in the lecture videos to enable you to follow along. Additionally, working code examples have been provided for you to try and modify. Each video will teach you a new practical programmingconceptthat you can apply in real time and quizzes will reinforce your learning.The instructor is an Oxbridge trained researcher and always available to troubleshoot.You'll also receive an industry recognized Certificate of Completion upon finishing the course.No Risk:Preview videos from the different sections for FREE, and enjoy a 30-day money-back guarantee when you enroll - zero risk, unlimited payoff!Sign up for this course today and learn the skills you need to rub shoulders with todays tech industry giants. Have fun, create and control intriguing and interactive Python GUIs, and enjoy a bright future!"
Price: 199.99 |
| "Regression Analysis for Statistics & Machine Learning in R" |
| "With so many R Statistics & Machine Learning courses around, why enroll forthis ?Regression analysis is one of the central aspects of both statistical and machine learning based analysis. This course will teach youregression analysis for both statistical data analysis andmachine learning in R ina practical hands-on manner.It explores the relevantconcepts in a practical mannerfrom basic to expert level. This coursecan help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work settingor make business forecasting related decisions. All of this while exploring the wisdom of an Oxford and Cambridge educated researcher.My name isMINERVA SINGHand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished aPhD at Cambridge University (Tropical Ecology and Conservation). I have several yearsofexperience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. This course is based on my years of regression modelling experience and implementing different regression models on real life data. Most statistics and machine learning courses and booksonly touch upon the basic aspects of regression analysis. This does not teach the students about all the different regression analysis techniques they can apply to their own data in both academic and business setting, resulting in inaccurate modelling. My course will change this.You will go all the way from implementing and inferring simple OLS (ordinary least square) regression modelsto dealing with issues of multicollinearity in regression to machine learning based regression models.Become a Regression Analysis Expert and Harness the Powerof R for Your AnalysisGet started with R and RStudio. Install these on your system, learn to load packages and read in different types of data in RCarry out data cleaning and data visualization using RImplement ordinary least square (OLS) regression in R and learn how tointerpret the results.Learn how to deal with multicollinearity both through variable selection and regularization techniques such as ridge regressionCarry out variable and regression model selection using both statistical and machine learning techniques, including using cross-validation methods.Evaluate regression model accuracyImplement generalized linear models (GLMs) such as logistic regression and Poisson regression. Use logistic regression as a binary classifier to distinguish between male and female voices.Use non-parametric techniques such as Generalized Additive Models (GAMs) to work with non-linear and non-parametric data.Work with tree-based machine learning modelsImplement machine learningmethods such as random forest regression and gradient boosting machine regression for improved regression prediction accuracy.Carry out model selectionBecome a Regression Analysis Pro and Apply Your Knowledge on Real-Life DataThis course is your one shot way of acquiring the knowledge of statistical and machine learning analysis that I acquired from the rigorous training received at two of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal likePLOS One. Specifically the course will: (a) Take the students witha basic level statistical knowledgeto performing some of the most common advanced regression analysis based techniques (b) Equip students to use R for performing the different statistical and machine learningdata analysis and visualization tasks (c) Introducesome of the most important statistical and machine learningconcepts to students in a practical manner such that the students can apply these concepts for practical data analysis and interpretation (d) Students will get a strong background in some of the most important statistical and machine learning concepts for regression analysis. (e) Students will be able to decide which regression analysis techniques are best suited to answer their research questions and applicable to their data and interpret the resultsIt is apractical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to both statistical and machine learning regression analysis. However, majority of the course will focus on implementing different techniques on real data and interpret the results. After each video you will learn a new concept or technique which you mayapply to your own projects.TAKE ACTION TODAY! I will personally support you and ensure your experience with thiscourse is a success."
Price: 199.99 |
| "Data Science:Data Mining & Natural Language Processing in R" |
| "MASTER DATA SCIENCE, TEXT MININGAND NATURALLANGUAGE PROCESSING IN R:Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.This gives students an incomplete knowledge of the subject. Unlike other courses out there, we are not going to stop at machine learning. We will also cover data mining, web-scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data. NO PRIOR R OR STATISTICS/MACHINE LEARNINGKNOWLEDGE IS REQUIRED:Youll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life. After taking this course, youll easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common NLP packages to extract insights from text data. I will even introduce you to some very important practical case studies - such as detecting loan repayment and tumor detection using machine learning. You will also extract tweets pertaining to trending topics and analyze their underlying sentiments and identify topics with Latent Dirichlet allocation. With this Powerful All-In-One R Data Science course, youll know it all: visualization, stats, machine learning, data mining, and neural networks! The underlying motivation for the course is to ensure you can apply R based data science on real data into practice today. Start analyzing data for your own projects, whatever your skill level and Impress your potential employers with actual examples of your data science projects.HERE IS WHAT YOU WILL GET: (a) This course will take you from a basic level to performing some of the most common advanced data science techniques using the powerful R based tools. (b) Equip you to use R to perform the different exploratory and visualization tasks for data modelling. (c) Introduce you to some of the most important machine learning concepts in a practical manner such that you can apply these concepts for practical data analysis and interpretation. (d) You will get a strong understanding of some of the most important data mining, text mining and natural language processing techniques. (e) & You will be able to decide which data science techniques are best suited to answer your research questions and applicable to your data and interpret the results.More Specifically, here's what's covered in the course:Getting started with R, R Studio and Rattle for implementing different data science techniquesData Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data.How to Pre-Process and Wrangle your R data by removing NAs/No data, handling conditional data, grouping by attributes..etcCreating data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, and MOREStatistical analysis, statistical inference, and the relationships between variables.Machine Learning, Supervised Learning, & Unsupervised Learning in R Neural Networks for Classification and RegressionWeb-Scraping using RExtracting text data from Twitter and Facebook using APIsText miningCommon Natural Language Processing techniques such as sentiment analysis and topic modellingWe will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects. All the data and code used in the course has been made available free of charge and you can use it as you like. You will also have access to additional lectures that are added in the future for FREE.JOIN THE COURSE NOW!"
Price: 199.99 |
| "Python Regression Analysis: Statistics & Machine Learning" |
| "HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:Regression analysis is one of the central aspects of both statistical and machine learning based analysis. This course will teach youregression analysis for both statistical data analysis andmachine learning in Python ina practical hands-on manner.It explores the relevantconcepts in a practical mannerfrom basic to expert level. This coursecan help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work setting& make business forecasting related decisions...All of this while exploring the wisdom of an Oxford and Cambridge educated researcher.Most statistics and machine learning courses and booksonly touch upon the basic aspects of regression analysis. This does not teach the students about all the different regression analysis techniques they can apply to their own data in both academic and business setting, resulting in inaccurate modelling. My course is Different;It will help you go all the way from implementing and inferring simple OLS (ordinary least square) regression modelsto dealing with issues of multicollinearity in regression to machine learning based regression models. LEARN FROM AN EXPERT DATA SCIENTIST:My name isMinerva Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I also just recently finished aPhD at Cambridge University (Tropical Ecology and Conservation). I have +5 yearsofexperience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. This course is based on my years of regression modelling experience and implementing different regression models on real life data. THIS COURSE WILL HELP YOU BECOME A REGRESSION ANALYSIS EXPERT:Here is what we'll be covering inside the course:Get started with Pythonand Anaconda. Install these on your system, learn to load packages and read in different types of data in PythonCarry out data cleaning PythonImplement ordinary least square (OLS) regression in Python and learn how tointerpret the results.Evaluate regression model accuracyImplement generalized linear models (GLMs) such as logistic regression using PythonUse machine learning based regression techniques for predictive modellingWork with tree-based machine learning modelsImplement machine learningmethods such as random forest regression and gradient boosting machine regression for improved regression prediction accuracy.& Carry out model selectionTHIS IS A PRACTICAL GUIDE TO REGRESSION ANALYSIS WITH REAL LIFE DATA:This course is your one shot way of acquiring the knowledge of statistical and machine learning analysis that I acquired from the rigorous training received at two of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal likePLOS One. Specifically the course will: (a) Take you froma basic level of statistical knowledgeto performing some of the most common advanced regression analysis based techniques. (b) Equip you to use Python for performing the different statistical and machine learningdata analysis tasks. (c) Introducesome of the most important statistical and machine learningconcepts to you in a practical manner so you can apply these concepts for practical data analysis and interpretation. (d) You will get a strong background in some of the most important statistical and machine learning concepts for regression analysis. (e) You will be able to decide which regression analysis techniques are best suited to answer your research questions and applicable to your data and interpret the results.It is apractical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to both statistical and machine learning regression analysis... However, majority of the course will focus on implementing different techniques on real data and interpret the results. After each video you will learn a new concept or technique which you mayapply to your own projects.JOIN THE COURSE NOW!"
Price: 199.99 |
| "Tensorflow Deep Learning - Data Science in Python" |
| "Complete Tensorflow Mastery For Machine Learning & Deep Learning in PythonTHIS IS A COMPLETE DATA SCIENCE TRAINING WITH TENSORFLOW IN PYTHON!It is a full 7-Hour Python Tensorflow Data Science Boot Camp that will help you learn statistical modelling, data visualization, machine learning and basic deep learning using the Tensorflow framework in Python.. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical data science using the Tensorflow framework in Python.. This means, this course covers all the aspects of practical data science with Tensorflow (Google's powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Tensorflow is revolutionizing Deep Learning... By storing, filtering, managing, and manipulating data in Python and Tensorflow, you can give your company a competitive edge and boost your career to the next level.THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON TENSORFLOW BASED DATA SCIENCE!But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.. This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework. Unlike other Python courses, we dig deep into the statistical modeling features of Tensorflow and give you a one-of-a-kind grounding in Python based Tensorflow Data Science! DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED TENSORFLOW DATA SCIENCE: A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda Getting started with Jupyter notebooks for implementing data science techniques in Python A comprehensive presentation about Tensorflow installation and a brief introduction to the other Python data science packages Brief introduction to the working of Pandas and Numpy The basics of the Tensorflow syntax and graphing environment Statistical modelling with Tensorflow Machine Learning, Supervised Learning, Unsupervised Learning in the Tensorflow framework Youll even discover how to create artificial neural networks and deep learning structures with TensorflowBUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:Youll start by absorbing the most valuable Python Tensorflow Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts. My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real -life.After taking this course, youll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Tensorflow. I will even introduce you to deep learning models such as Convolution Neural network (CNN) !!The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today, start analyzing data for your own projects whatever your skill level, and impress your potential employers with actual examples of your data science abilities.This course will take students without a prior Python and/or statistics background background from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooksIt is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results.. After each video you will learn a new concept or technique which you may apply to your own projects!JOIN THE COURSE NOW! #tensorflow #python #deeplearning #android #java #neuralnetwork #models"
Price: 199.99 |
| "Tensorflow and Keras For Neural Networks and Deep Learning" |
| "THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH TENSORFLOW & KERAS IN PYTHON!It is a full 7-Hour Python Tensorflow & Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using two of the most important Deep Learning frameworks- Tensorflow and Keras. HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:This course is your complete guide to practical machine & deep learning using the Tensorflow & Keras framework in Python.. This means, this course covers the important aspects of Keras and Tensorflow (Google's powerful Deep Learning framework) and if you take this course, you can do away with taking other courses or buying books on Python Tensorflow and Keras based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Tensorflow and Keras is revolutionizing Deep Learning... By gaining proficiency in Keras and and Tensorflow, you can give your company a competitive edge and boost your career to the next level.THISISMYPROMISETOYOU: COMPLETETHISONECOURSE&BECOMEAPROINPRACTICALKERAS &TENSORFLOW BASEDDATASCIENCE!But first things first.My name isMinerva Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished aPhD at Cambridge University (Tropical Ecology and Conservation). I have several yearsofexperience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.Over the course of my research I realized almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.. This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework. Unlike other Python courses, we dig deep into the statistical modeling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks! DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED TENSORFLOW DATA SCIENCE: A full introduction to Python Data Science andpowerful Python driven framework for data science, Anaconda Getting started with Jupyter notebooks for implementing data science techniquesin Python A comprehensive presentation about Tensorflow & Keras installation and a brief introduction to the other Python data science packages Brief introduction to the working of Pandas and Numpy The basics of the Tensorflow syntax and graphing environment The basics of the Keras syntax Machine Learning, Supervised Learning, Unsupervised Learning in the Tensorflow & Keras frameworks Youll even discover how to create artificial neural networks and deep learning structures with Tensorflow & KerasBUT, WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:Youll start by absorbing the most valuable Python Tensorflow and Keras basics and techniques. I useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts. My course willhelp you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real -life.After taking this course, youll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Tensorflow and Keras. I will even introduce you to deep learning models such as Convolution Neural network (CNN) !!The underlying motivation for the course is to ensure you can apply Python based data science on real data into practice today, start analyzing data for your own projects whatever your skill level, andimpressyour potential employers with actual examples of your data science abilities.This course will take students without a prior Python and/or statistics backgroundbackground from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooksIt is apractical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results.. After each video you will learn a new concept or technique which you mayapply to your own projects!JOIN THE COURSE NOW!"
Price: 199.99 |
| "Complete Time Series Analysis With Python" |
| "THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN PYTHON!This course is yourcomplete guideto time series analysis using Python. So,all the main aspectsof analyzing temporal data will be covered n depth..If you take this course, you can do away with taking other courses or buying books on Python based data analysis. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in in analysing time series datainPython, you can give your company a competitive edge and boost your career to the next level. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:Hey,my name is Minerva Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished aPhD at Cambridge University. I have +5 yearsofexperience in analyzing real life data from different sources using data science related techniques and i have produced many publications for international peer reviewed journals.Over the course of my research I realised almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic . So, unlike other instructors, I dig deep into the data sciencefeatures of R and gives you a one-of-a-kind grounding indata science related topics! You will go all the way from carrying out data reading & cleaning to to finally implementing powerful statistical and machine learning algorithms for analyzing time series data.Among other things:You will be introduced to powerful Python-based packages for time series analysis. You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for time series data. & you will learn to apply these frameworks to real life data including temporal stocks and financial data.NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!Youll start by absorbing the most valuable Python Data Science basics and techniques. I useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. My course willhelp youimplement the methods using REAL DATAobtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real-life.After taking this course, youll easily use the common time series packages in Python... Youll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!"
Price: 199.99 |
| "Complete Data Wrangling & Data Visualisation In R" |
| "THIS IS YOUR ROADMAP TO LEARNING & BECOMING HIGHLY PROFICIENT IN DATA PREPROCESSING, DATA WRANGLING, & DATA VISUALIZATION IN R! Hello, My name is Minerva Singh. I am an Oxford University MPhil graduate in Geography & Environment & I finished a PhD at Cambridge University in Tropical Ecology & Conservation.I have +5 of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then youre going to love this course!I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science - data wrangling and visualisation. THIS COURSE WILL TEACH YOU ALL YOU NEED AND PUT YOUR KNOWLEDGE TO PRACTICE NOW!This course is your sure-fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in the renowned international journal like PLOS One.HERE IS WHAT THIS COURSE WILL DO FOR YOU:It will take you (even if you have no prior statistical modelling/analysis background) from a basic level of performing some of the most common data wrangling tasks in R.It will equip you to use some of the most important R data wrangling and visualisation packages such as dplyr and ggplot2.It will Introduce some of the most important data visualisation concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.You will also be able to decide which wrangling and visualisation techniques are best suited to answer your research questions and applicable to your data and interpret the results.. The course will mostly focus on helping you implement different techniques on real-life data such as Olympic and Nobel Prize winnersAfter each video, you will learn a new concept or technique which you may apply to your own projects immediately! Reinforce your knowledge through practical quizzes and assignments.ON TOP OF THE COURSE, IM ALSO OFFERING YOU:Practice Activities To Reinforce Your LearningMy Continuous Support To Make Sure You Gain Complete Understanding & ProficiencyAccess To Future Course Updates Free Of ChargeIll Even Go The Extra Mile & Cover Any Topics That Are Related To The Subject That You Need Help With (This is something you cant get anywhere else).& Access To A Community Of 25,000 Data Scientists (& growing) All Learning Together & Helping Each Other!Now, go ahead & enrol in the course. Im certain youll love it, but in case you dont, you can always request a refund within 30 days. No hard feelings whatsoever. I look forward to seeing you inside!"
Price: 199.99 |
| "Acumen Presents: Angela Duckworth on Building Grit" |
| "The secret to outstanding achievement is not talent but a special blend of passion and persistence called grit. This course will introduce you to research-grounded insights and practical strategies to become a more gritty personsomeone with the perseverance to power through difficult circumstances and drive change in the world. Taught by Angela Duckworth, a MacArthur Genius winner, bestselling author of Grit, and University of Pennsylvania psychologist, youll learn strategies to set the right goals, uncover your interests, implement deliberate practice in your daily life, cultivate a growth mindset, and find purpose in your work so that you can continue pursuing difficult challenges.Through a series of video lectures, Angela will bring the lessons from her New York Times bestselling book and TED talk to life, offering stories and findings particularly relevant to social change makers trying to do hard things. Shell also share research-grounded insights relevant to everyone from entrepreneurs to parents to athletes to students to businesspeople who are trying to live up to their full potentialand help others do the same. Shell share practical tips and strategies to develop more grit in your daily life and youll gain a set of exercises and supplemental resources to start applying these lessons right away."
Price: 179.99 |
| "Acumen Presents: Scott Sonenshein on Resourcefulness" |
| "Social entrepreneurs exist in environments of scarcitytheyre consistently strapped for time and funding, and yet are trying to tackle some of the worlds biggest challenges, like homelessness, healthcare, and energy access for the poor. What if they could unlock new mindsets and skills to learn how to leverage their constraints and achieve greater impact with less? In this course, Scott Sonensheinauthor of Stretch: Unlock the Power of Less and Achieve More Than You Ever Imagined, and professor of business at Rice Universitywill use engaging stories and research to teach social entrepreneurs how they can stretch what they have and succeed using the science of resourcefulness.Scott will present his framework about the key pillars of a stretch mindset along with business case studies and practical exercises that you can use to practice applyinga stretch mindset in your life and organization. Specifically you will define a ""Stretching Challenge"" that you're facing in your own life or work and use each of the course exercises and lessons to reconceptualize itwhileuncovering new or hidden resources that can lead tobreakthrough solutions.This course is ideal for anyone facing constraints and obstacles in their life or organization, or who wants to consider their opportunities and resources in a new, more optimistic light."
Price: 179.99 |
| "Acumen Presents: Daniel Pink on the Art of Selling" |
| "Whether were employees pitching colleagues on a new idea, entrepreneurs enticing funders to invest, or parents and teachers cajoling children to study, we spend our days trying to move others. Like it or not, were all in sales now. In this course, Daniel Pink, bestselling author ofTo SellIs Humanoffers a fresh look at the art and science of selling. He teaches research-grounded tactics to help you understand your audience and convince them to take clear actionswhether that isfunding your venture,buying your product, oradopting your new idea. You'll leave the course better equipped to practicethe new skills of selling--pitching, improvising and serving.Daniel is one of the most highly-regarded contemporaryauthors covering topics ranging frombusiness toworktobehavior. HisTED Talk on the science of motivation is one of the 10 most-watched TED Talks of all time and, inthis course, hell walk you through the science of motivating peopleto buy, use, and adopt.Youll learn three effective methods to pitch and then have the chance toapply all of Daniels tactics to your own selling challenge. Along the way, Daniel will teach you how to remain buoyant in the face of the inevitable rejection that comes with selling and instruct you on the new ABCs of sales.Daniels insights will change how you see the world and transform what you do at work, at school, and at home. Hell help you realize that sales doesnt have to be sleazy or distasteful, but canbe a personal, purposeful, and ultimately human art. Learn the new tactics of salesfrom one of the best thinkers on business and behavior Understand why sales has changed more in the last 10 years than in the previous 100 yearsand how you can adaptDiscover how to map the power dynamics between customers and sellersGain strategies to grow attuned tothe perspectives and needs of your customers and audiencesPractice 3 research-backed pitching techniques to sell your ideasLearn to make sales personal, purposeful and ultimately humanContent and Overview Daniel will introduce you to the concept of salesand help you understand why almost everyone is in sales now because we are all trying to move or persuade others. Youll learn how to frame your own Sales Challengea situation where you need to convince or move othersso that you can apply Daniels tactics and research directly to your own work. Next, Daniel will present the research on how sales has shifted more in the last 10 years than in the previous 100 years by explaining the concepts of information asymmetry and parity.Hell also explain twobig picture techniques for moving others--irritation and agitation--and help you learn to differentiate between them. Thenyoull have a chance to apply these two techniques to your ownSales Challenge. Daniel will walk you through the new ABCs of Selling attunement, buoyancy, and clarity--and offer structured tips for how you can put these concepts into practice right away. Youll dive into exercises where youll assess the power dynamics between the seller and the buyer and learn to tailor your messages accordingly. Youll learn tactics to stay more buoyant in the face of inevitable rejection that comes with selling new things. And youll learn how to design off-ramps that point your customers or audience in the direction of clear actions. Daniel will then explain the fundamentals of effective pitches. Hell offer you three templates to create pitches that workbased on the social science research.Youll have a chance toapplythese frameworks to craft your own pitch.Finally, Daniel will wrap up by offering advice on how you can make sales more personal and more purposeful so thatfar from being sleazy or distastefulselling can be a very human art."
Price: 179.99 |
| "Debbie Millman on Branding for Social Change" |
| "Brands signal our affiliations. At their best, they tell stories that define, differentiate and humanize organizations and indicate what companies stand for in the world. When executed well, brands can connect us with like-minded people and visions, reflect our values, inspire us to take action, or help us feel part of something bigger than ourselves.For all these reasons, social enterprises and nonprofit organizations working on tackling the worlds most critical challenges like poverty, climate change, sexual violence, or homelessness need to build strong brands. In our fast-moving and chaotic world, it matters more than ever that social change-makers learn how to cut through the noise and get other people to pay attention to their causes, services, and innovations.In this self-paced +Acumen course, Debbie Millman will teach any social entrepreneur, nonprofit manager, or social change agent to build a compelling brand identity for their cause or initiative that will get others to sit up, pay attention, and feel connected.What You'll Gain Access To:10 page workbook with activities that will help starting to build your brandTutorial videos A dynamic forum to share your process with other brand-builders across the social sectorA Certificate for successful completion of all course requirementsThe ability to revisit any section of the course as needed (the course is self-paced and starts whenever you have the time!)About the Instructors:DebbieMillmanis an American writer, journalist, educator, artist, curator and designer who is best known as the host of the podcastDesign Matters. She has authored six books includingBrand Thinking and Other Noble PursuitsandBrand BibleThe Complete Guide to Building, Designing and Sustaining Brands. She is the current President Emeritus of AIGA, chair and co-founder of the Masters in Branding Program at the School of Visual Arts in New York City, and Editorial and Creative Director of Print magazine. Named one of the most creative people in business by Fast Company, and one of the most influential designers working today by Graphic Design USA, Debbie has worked with over 200 of the worlds largest brands, including the redesign of Burger King, merchandising for Star Wars, and the positioning and branding of the No More movement."
Price: 199.99 |
| "Learn To Program Tic-Tac-Toe with C# and Visual Studio" |
| "LEARN HOW TO QUICKLY BUILD A TIC-TAC-TOE GAME ON WINDOWS USING VISUAL C# and WinFormsAre you curious to learn what it takes to build a game with Visual C# on Windows?If you say yes then Iam hoping you will find this course as exciting as it is informational.WHAT YOU ARE GOING TO LEARN:The techniquesyou need to build a complete Tic Tac Toe game with Visual C#on WindowsUnderstand how to use WinForms and how to create desktop applications using C#How to prompt the user for messages and how to use MessageBox APIHow to load images and display images using WinFormsYou have 30-day money back guarantee from Udemy, so there is nothing to lose!I made my best efforts to provide high quality content and to make this both useful and fun to watch.Lets get started today! Enroll now!WHAT'S IN THE COURSE?Over 10lectures of video contentComplete Tic-Tac-Toe Project in C# on WindowsUnderstand how to write efficient C# codeLearn how Windows applications workWHAT'S NOTIN THE COURSE?This course DOESNOT teach AIand it is only a basic game for two players. You won't learn how to make the computer as one of the players as part of this course.COURSE REQUIREMENTS:Basic knowledge of C# (or any similar language like C/C++, Java....etc)Basic understanding ofloops, functions, variables and if conditions...Windows 7 or newerVisual Studio installation Visual Studio 2015 Community Edition (Recommended) or NewerENROLL TODAY TO LEARN HOW TO BUILD YOUR OWN TIC-TAC-TOE!"
Price: 34.99 |
| "How To Program Your Own Breakout Game using Visual C#" |
| "LEARN HOW TO QUICKLY BUILD A BREAKOUT GAME CLONEON WINDOWS USING VISUAL C# and WinFormsIf you want to learn and experiencewhat it takes to build a game on Windows usingVisual C# and Winformsthen Ihope you will find this course as exciting as it is informational.WHAT YOU ARE GOING TO LEARN:The techniquesyou need to build a complete Breakout game clone with Visual C#on WindowsUnderstand how to use WinForms and how to create desktop applications using C#How to draw graphics inside WinformsHow to use timers to mimic game loopsHow to play soundsHow to embed images and sounds as resources inside your applicationHow to handle mouse and keyboard eventsHow to load images and display images using WinFormsYou have 30-day money back guarantee from Udemy, so there is nothing to lose!I made my best efforts to provide high quality content and to make this both useful and fun to watch.Lets get started today! Enroll now!WHAT'S IN THE COURSE?Complete Breakout Project in C# on WindowsUnderstand how to write efficient C# codeLearn how Windows applications workFull source code of the project we will buildAll game assets used in the game are included for freeCOURSE REQUIREMENTS:Basic knowledge of C# (or any similar language like C/C++, Java....etc)Basic understanding ofloops, functions, variables and if conditions...Windows 7 or newerVisual Studio installation Visual Studio 2015 Community Edition (Recommended) or NewerENROLL TODAY TO STARTBUILDING YOUR OWN BREAKOUTGAMEANDHAVEFUNPLAYINGIT"
Price: 49.99 |
| "WordPress E-Commerce With WooCommerce: Novice To Store Owner" |
| "Learn Howto Build anE-Commerce WebsiteBy using WordPress and WooCommerce Plugin, Building an online completeshopping store.WooCommerce is the leading ecommerce plugin for working with WordPress. In this in depth course we talk about Ecommerce from a big picture perspective and then dive down into all of the details for setting up and running an ecommerce site with WordPress and Ecommerce.Building E-Commerce Website By WordPressE-commerce Site is anonline shopping store for selling/buying physicalproducts or digital services, we'll use WordPress and WooCommercePluginto create this large project, if you are really serious about creating an e commerce website, then this course for sure is you.If you're looking to run or build ecommerce sites, the content covered in this course is essential.Some of the Important Sections and Lectures of This CourseCreating the Website Of WordPressInstalling The WooCommerce PluginsProduct and Tax SetingsCreating the Checkout SystemCreating the Payment OptionsManage The Sales and ReportsSetting Up The Shipping OptionsCustomize Your Store"
Price: 189.99 |
| "Waterfall to Agile Project Management: A Step By Step Guide" |
| "Are you looking to understand what Agile Project Management is? Are you currently running a waterfall project and want to make the jump to Agile? Then this is the course for you. In this course Agile expert Luke Angel will show you how you can realize the time, quality, and cost benefits of agile project management. This course will help you understand the difference between traditional waterfall and agile methodologies and what is required for a successful transition between the two. Luke provides advice on garnering support for a pilot project: by identifying supporters early on and keeping them engaged throughout the project. He will show how to respond in a engaging way to detractors. He then leads you through the process of choosing the pilot project, selecting the right team, and setting the vision, and provides a short overview of agile basics to you get started. Finally, learn how to perform a retrospective review of the pilot and identify the drivers to continue an agile rollout. In this course you will learn:1) What Agile Is and the benefits it offers 2) What the differences between Agile and Waterfall Projects are 3) How to make the agile paradigm shift 4) How to test agile practices 5) How to get and maintain support 6) How to get executive sponsorship 7) Building the team 8) Sprint planning and execution 9) Expanding the agilepilot to a full agileroll-outHow should take this course? Everyone is welcome to take this course and there are no perquisites required. You will learn everything you need in the course. Should you sign up for this course? Yes, sign up today!"
Price: 184.99 |
| "Agile Retrospectives: Make Good Teams Great" |
| "In this course, Agilisto Luke Angel outlines the tools needed to successfully run a great retrospective. Including the five phases: setting the right direction, getting all of the issues on the table, gathering insights from the team, making decisions, and finally, applying the changes. He will make you starfish and then PANCAKE, Yup their as funny as they sound buy hey they work, diagrams to identify challenges and opportunities for process improvement, and show how to close a retrospective with clear action items. An agile retrospective allows a team to continuously improve and get better together. This simple practice lets members step back from the day-to-day challenges with product delivery. Instead they focus on the team. ""What are we doing well? What can we do better?"" The answers to these questions help the team create a more agile mindset. They will be self-organized and more productive. Instead of a postmortem at the end of the project, they will have health checks throughout the project. Topics include: How To Work With A Distributed Team Starting Retrospectives - Surprising Topic I Know Purpose Of Agile Retrospectives What the heck a facilitator is. Five phases of retrospectives Choosing an ideal meeting space Identify Issues And Ways To Improve Setting goals using SMART criteria Pancake Retrospectives: Hold the Syrup Asking good questions Making team decisions Closing out an agile retrospective How To Get The Team Talking Starfish Diagrams - Yeah its a real thing"
Price: 99.99 |
| "Node.js: The Essentials + API Frameworks Express KOA Sails" |
| "Node.js, a lightweight and efficient platform for building network apps. In this course Luke Angel Leads you down the path to get your firstpieces of code and understand the frameworks available for the platform, including options such as Express, Sails, and Koa. We willlearn howpromisesandgenerators helps solve callback hellare and how tocreate both ofthem.We will then dive into some New Features in node and ES 2016, . All this information is bundled into a small user authentication API Luke creates along the way, which can be used as the stepping stone for the next full-scale app you build with Node.js.Topics include:Installing Node.jsUnderstanding the benefits of JavaScriptWriting modules and packagesReading and writing filesWorking with frameworks: Express, Sails, and KoaGenerating promisesWorking with generator functions"
Price: 19.99 |
