| "Aprende a HABLAR INGLES INSTANTNEAMENTE - Curso de Ingles" |
| "Este curso esta exclusivamente diseado para ti que tienes deseos de aprender y dominar el idioma ingles, hemos diseado este mtodo de aprendizaje basado en la poderosa capacidad que tiene el la mente humana de aprender, aplicando este mtodo vas a conocer el poder que tienes de aprender. No necesitas ningn conocimiento previo, solo deseos de aprender!Necesitas un computador, laptop o smartphone para el curso.Te recomiendo usar audfonos."
Price: 19.99 |
| "Curso de ingles Habla y Escucha como nativo - FUNCIONA!!" |
| "Este curso es especialmente para ti: que quieres desarrollar la capacidad de hablar y entender ingles fluido y como nativoSaldrs de este curso hablando y escuchando como nativo, entendiendo como nativoEstar contigo en todo momento en el proceso de enseanza aprendizajeNo hay dificultad para entenderste curso es diseado especficamente para t, hispano-parlantetodo est en el curso. No falta nada. Todo lo que necesitas est en el curso.Hablante nativo de Ingls AmericanoLa calidad del audio es excepcional. Todas las lecciones estn grabadas con un micrfono de alta calidad."
Price: 104.99 |
| "Curso de Ingles APRENDE INGLES A LA VELOCIDAD DE UNA BALA" |
| "Los estudiantes en este curso tendrn una experiencia de aprendizaje del idioma ingles NUNCA ANTES VISTA, en este curso encontraras un mtodo desarrollado para cambiar tus odos un 100%Despus de terminar el curso:- Tu capacidad auditiva mejorara un 100%- Entenders todo el ingles que escuches- Mejoras tu pronunciacin Como usar este curso:Este curso es de 21 das seguidos Tienes que orlo todos los das (por 21 das) x 1 hora Oyendo sin hacer esfuerzo de escucharOyendo como msica de fondo"
Price: 49.99 |
| "The Ultimate Guide To Becoming an All-Star on LinkedIn" |
| "Would you like to become a Rock Star on LinkedIn with an All-Star Profile Status?Hi, I'm Daniel & the reason why I've created this course to help you & people just like you to gain a better understanding of how LinkedIn can help you grow your professional network and be a great resource towards reaching and accomplishing your professional goals, is because many professionals on LinkedIn do not have a complete, vibrant or robust LinkedIn Profile.Inside this Class, I will walk you thru the steps on how to add multiple Accomplishments to your LinkedIn Profile as well as show you how to link them to your job experience, as well as share other insights and tips + a few bonus videosIn this course, we will be exploring many topics including:How To Setup Your LinkedIn Profile Properly What To Put On Your LinkedIn ProfileYour LinkedIn Profile How To Manage Your LinkedIn ProfileHow To Use LinkedIn DailyThink Of LinkedIn As A Search EngineDo's And Don'ts On LinkedInWhat NOT To Do On LinkedIn Becoming an All-Star on LinkedInVisibility and Search-abilityAn All-Star LinkedIn Profile Walk-thru. OverviewA. Your Profile PictureB. Your LinkedIn Intro / Bio / SummaryC. Your Articles and ActivitiesD. Your ExperienceE. Your EducationF. Your Volunteer ExperienceG. Your SkillsH. Accomplishments: OverviewI. Accomplishments: PublicationsJ. Accomplishments: CertificationsK. Accomplishments: PatentsL. Accomplishments: CoursesM. Accomplishments: ProjectsN. Accomplishments: Honors & AwardsO. Accomplishments: Test ScoresP. Accomplishments: LanguagesQ. Accomplishments: OrganizationsR. Additional Information: OverviewS. Additional Information: Recommendations (Class Project #2)T. Support Languages (Overview)U. Support Languages: Adding another language to your LinkedIn ProfileV. You InterestsX. LinkedIn Profile PDF (Class Project #3)Y. Share your Profile (Class Project #4)Z. Being a Part of LinkedIn GroupsSharing your LinkedIn ProfileGetting 5 RecommendationsSharing your LinkedIn Profile in PDF formatWriting 5 recommendationsConnecting with other class mates and membersLinkedIn FAQ'sLinkedIn NetworkingBeing a LinkedIn Premium MemberBonus: Inside My LinkedIn PremiumBonus: How to Add LinkedIn Profile BadgesThe Optional LinkedIn Premium Membership UpgradesBy the time you have completed these steps in my A to Z formula, you are ready to share your ALL-STAR LinkedIn Profile, and both automatically & organically attract viewers to your new ALL-STAR LinkedIn Profile!I wishes to also clarify:How to properly share your LinkedIn Profile, ... How to Get your first 5 Recommendations,How to turn your LinkedIn Profile into a PDF,How to Write your first 5 recommendations,and a lot more inside my All Star LinkedIn course.I'm Daniel and I created this All-Star LinkedIn Course to show you the power of LinkedIn, and encourage you to join us and many others, including your fellow classmates, in becoming official LinkedIn All-Stars. You can do it, and I can help!In fact, I WANT to help!Please let me know if there are any other specific topics regarding LinkedIn which you are most interested in learning about, in the comments.It is my desire for you to learn how you too, can leverage LinkedIn to help you be found, be understood, be able to add & receive value and have an impact in your spheres of influence.Inside this course, I shall do my best to walk you thru exactly how to become an ALL-STAR LinkedIn Professional.According to LinkedIn ... There are five levels of the LinkedIn profile status, from the least complete to highest completion. Namely: the Beginner, Intermediate, Advanced, Expert and the All-Star. Of course, You will want to be an All-Star on LinkedIn! ... Who wouldn't?This and many more LinkedIn Secrets will be revealed inside this course.For example: ... LinkedIn is very different than Facebook, and what works on Facebook often does not work on LinkedIn!This course is perfect for anyone already on LinkedIn, or new to LinkedIn, especially for College Students, Recent Grads and anyone looking to be an influencer, a professional, a sales navigator, recruiter, or job seeker. Maybe, you are entrepreneur or small business owner interested in networking, growing, expanding, hiring or promoting a product or service you are selling. and or would like to advertise, get leads, learn more skills or master LinkedIn so you can be more effective and knowledgeable.This LinkedIn course is perfect for both employers and employees too. Whatever your reason, ... perfecting your LinkedIn Profile is vital! I will explain more why inside. Please keep in mind that becoming and being an All-Star is an on-going process, that does not end, even when you retire.Case in point, Iam personally connected with many retired people, who are still very active on LinkedIn, because they can make a real difference and continue to have a lasting impact, leaving a legacy and mark on countless people's lives.So you are never too old for LinkedIn, and for that matter, you can never be too young either. Ihave noticed and seen many High School Students on LinkedIn recently, and expects more and more will join LinkedIn to get a head-start.If you are interested to know more about me and what else Ido, please feel free to check out his All-Star LinkedIn Profile, and while you do, be sure to connect with me on LinkedIn!You can find me if you search for deardanielim on LinkedIn.Did you know that I always messages each of his new connections, just to try to get to know them?So, please be sure to reply his initial message, and make sure you inform him that you are a member of one of his online courses and that's how you found him. Tell him I asked you to connect with him.Thank you for your interest in becoming an All-Star on LinkedIn!See you on the inside of my All-Star LinkedIn Online Course!"
Price: 199.99 |
| "20 Ways To Be A Happy Parent" |
| "Being a Happy Parent is more important today than ever! With all the demands and pressures of life, ... to do, perform, provide for their kids and spouse. Relationships with their spouse and children are the most important thing in a family.Inside this course, we will explore 20 great ways to improve your parenting by giving up, instead of being stressed, burnt-out, depressed and lost.Here are the 20 thing we recommend giving up, in order to be a happy parent.1. Give Up S_____ & Y_____2. Give Up F_____ G_______3. Give Up The Need To K______ S_____ 4. Give Up Your Need To L_____ P_____5. Give Up I_________6. Give Up W_________7. Give Up Your C_____ S_____8. Give Up Unhealthy S_____ S_____9. Give Up D_____ S_____10. Give Up U_____ F_____11. Give Up Being An E_____ C_____12. Give Up Letting Your Kid S_____13. Give Up G_____ R_____14. Give Up F_____ At M_____ T_____15. Give Up Doing N_____16. Give Up Doing S_____17. Give Up I____________18. Give Up Having To H_____ T_____ F_____ S_____19. Give Up L_____ & C_____ W_____ O_____20. Give Up on G_____ U_____"
Price: 199.99 |
| "Intro to Coding: HTML, CSS & JavaScript" |
| "Did you know that Learning to Code will boost your problem-solving and logic skills? That is one of the main reasons why I believe that everyone should Learn to Code!In this course, Iwould like to introduce you to web coding &show you how you can get started. But first, let me tell you more why I believe everyone should Learn to Code ...Without a doubt, Learning How to Code can Change Your Life!Not only can Coding lead to real software development jobs, it can & will also open up many more other job opportunities for you.In fact, knowing Coding can make your job application stand out. In this day and age, you need every advantage you can get in order to secure your dream job.It's true, Coding literacy can help you understand many other aspects of tech, life, and society.We live in the future and its high tech and in this highly technologically advanced society, ... Technology isnt just changing society its changing what it means to be human.That is a major topic beyond the scope of this course, and maybe we could explore that in future courses.This course is an introduction to coding with HTML, CSS & JavaScript.Here are a few more reasons why you should take this course and learn to code.1. Knowing how to code could lead to freelance work.2. As I previously mentioned. ... Knowing how to Code can boost problem-solving and logic skills3. being able to code can allow you to pursue passion projectsYou might be surprised to learn that knowing how to Code plus actually coding regularly, could improve your interpersonal skillsBecause being a skilled coder can build confidence, you can be creative and turn your dreams into reality. That's powerful and if you think about it, ... anyone can do it!However, it's not easy, but if you don't give up, you will become a coder, and that's the first step in becoming a developer and an engineer.What do you have to lose? Ask yourself ""Can I afford NOT to learn to code?""Start today!"
Price: 199.99 |
| "An Introduction to Basic HTML and HTML5" |
| "Welcome to the Introduction to Basic HTML and HTML5 Online Course on Udemy.I'm Daniel Lim AKA@deardanielim &I'll be your instructor.Thank you for your interest in the Introduction to Basic HTML and HTML5 Online Course, here on Udemy.Ilook forward to instructing you and showing your the ropes, as you're getting started on your journey to become either:a web designera web developera web engineera front end developera full stack developera UI/UX DesignerInside this course, you will discover a good introduction to Basic HTML and HTML5Say Hello to HTML ElementsHeadline with the h2 ElementInform with the Paragraph ElementFill in the Blank with Placeholder TextUncomment HTMLComment out HTMLDelete HTML ElementsIntroduction to HTML5 ElementsAdd Images to Your WebsiteLink to External Pages with Anchor ElementsLink to Internal Sections of a Page with Anchor ElementsNest an Anchor Element within a ParagraphMake Dead Links Using the Hash SymbolTurn an Image into a LinkCreate a Bulleted Unordered ListCreate an Ordered ListCreate a Text FieldAdd Placeholder Text to a Text FieldCreate a Form ElementAdd a Submit Button to a FormUse HTML5 to Require a FieldCreate a Set of Radio ButtonsCreate a Set of CheckboxesCheck Radio Buttons and Checkboxes by DefaultNest Many Elements within a Single div ElementDeclare the Doctype of an HTML DocumentDefine the Head and Body of an HTML DocumentStart today!Cheers,Daniel"
Price: 199.99 |
| "Where to find Mentors in 2020" |
| "There is a lot of talk these days about how everyone should be mentored. While there are some of us who prefer to go at it alone. The vast majority should fast track their success by finding a mentor. But why just limit it to one? Get multiple mentors if you really want to accelerate your personal and profession development and growth. Because not only will you receive specific guidance, advice and find help when trying to troubleshoot or resolve tough problems, you'll also be able to gain special insights & even leverage your mentor's experience, or extended network of contacts for new partnerships, employees and even clients.That's the reason I created this course. It's not to teach you how to be a men-tee or be a mentor. This course was made to point you in the right direction and encourage you to first find a mentor and then become one, some day. In this course, you will discover some of the best places to find mentors!See you inside the course.Daniel Lim @deardanielim"
Price: 199.99 |
| "Complete Trello Fundamentals - Beginners to Advanced" |
| "Trello lets you work more collaboratively and get more done. It's intuitive and easy to pick up, unlike most other productivity tools out there, yet at the same time it is flexible enough that it can be tweaked for more serious and complex project management. *SUITABLE FOR ALL LEVELS* We'll go through the fundamentals Trello's basic features and some basic concepts of Kanban. Feel free to start from the beginning or jump ahead to the more advanced sections of the course. *LEARN HOW TO USE TRELLO TO MANAGE PERSONAL TASKS, TEAM PROJECTS AND BUSINESS OPERATIONS*Explore project templates and the various workflows and frameworks that are suitable for different scenarios.*UNLOCK MORE ADVANCED FUNCTIONS*Trello can be enhanced using Power-Ups and browser extensions which can solve almost any need that you may have for different projects.*AUTOMATE BASIC TASKS*Using platforms such as Automate-dot-io, Trello can talk to your other software and services.*GET MORE PEOPLE TO COLLABORATE*Due to it's low barrier of entry, it's easier to convince your family members and friends to join you in organizing your projects and activities. *EASY ON THE EYES* The visual nature of Trello makes it attractive and easier to process information."
Price: 199.99 |
| "Aprende a programar en el lenguaje SAS!" |
| "En este curso aprenders cmo se programa en SAS para el anlisis de datos. Este lenguaje es muy fcil de aprender ya que no requiere escribir mucho cdigo para obtener resultados interesantes. Este curso se divide en 3 partes; 1. Basico, 2. Intermedio, 3. Avanzado. Por lo que cualquier persona interesada en aprender SAS, ya sea que tenga algo de experiencia o empiece de cero, puede tomar este curso.Lo ms importante es querer aprender lenguaje y solo tendrs que invertir unas cuantas horas para que te sientas muy cmodo programando. La practica hace al maestro."
Price: 99.99 |
| "Complete SAS Programming Bootcamp 2019: Go from zero to hero" |
| "In this course you will learn to program in the SASLanguage to do data analysis. This language is really easy to learn since you don't need to write too much code to get great results!This course is broken down in 3 parts:1. Beginner, 2. Intermediate, 3. Advanced. So anyone interested in learning how to program in SAS, from people with nothing or some experience, can enroll in this course. The most important requirement to enroll is to be committed to learn it and be willing to invest some hours. I promise you once you are done with this course, you will feel very comfortable and loving it when programming in this wonderful language!"
Price: 99.99 |
| "Build Website From Scratch Using Wordpress" |
| "Are you aSmall Business OwnerorFreelancer?Are you aWordPress Enthusiast?Or perhaps you'venever created a website before?then this course is right for you.This course is designed for all type of business owners with little to no experience with building websites.At the end of this course you will have a website that has been tailored for your business, and the skills to build as many new websites as you want in the future. If you would like to get your business online but don't have the budget to hire a professional web design agency, YourWordpressWebsite Will Be Fully Responsive (Ipad & Mobile Friendly)Youwill be able to create your veryown websitewithout having to write a single line of code.No prior experience is required Build your professional site in less than a hour with proper step by step guide"
Price: 19.99 |
| "Concise Lectures on Mandarin Grammar" |
| "Many Chinese learning beginners complain that Chinese language (mandarin) does not have a grammar. However, that is not true, mandarin does have strict grammatical rules for speaking and writing just as any another language does. Imagine if a language does not have grammar, how it can work for communication as same as there are no rules on road traffic.Actually mandarin not only has grammatical rules that can be traceable in daily spoken and written language, but also its grammar is concise and not complicated. Since mandarin is based on (hn)(z)-Chinese characters, an individual (hn)(z) cannot be transformed. Therefore, mandarin does not have following form variations: changing verbs from their basic form; changing adjectives or changing plural nouns for different gender, How ever we use other characters to complement or modify. For example, to show the tense, we add either of the four characters (zi)zhe(gu) or (le) to indicate present continuous tense, a past experience or a completion of an action.This course teaches the essential mandarin grammatical rules, dilutes your confusions you very often come across during your study and improves your ability to fast learn and appropriately use Chinese language .The course uses ample examples to illustrate the rules and one of its other features is having a word by word translation of exemplary phrases and sentences-marked with ( ) brackets followed by translation of a whole phrase or sentence so that a learner can compare the differencesSyllabus1 Two basic sentence patterns2 Tense-Usages of particles-(zi)(le)(gu) (zhe)3 Usages of (zi) as a verb4 To negate-Usages of (b)(mi)(yu)5 Measure words6 Time expressions7 Asking closing and open questions-Usages of (ma)(shn)(me)(n)(du)(sho) (j) (sh) (shu)(wi)(shn)(me)(zn)(me)8 Be able to, have to -Usages of (hu) and (dei)9 Usages of(d)10 Compare things-Usages of (b) and (zu)11 Usages of (y)(din)(r)(yu)(din)(er)12 Propositions- Usages of (cng)(zi)(shng) (l)(du)(gi)13 Usages of structural particle- (de), (di), (de)14 There to be expressions15 Complements16 Passive voice"
Price: 29.99 |
| "Die perfekte Landing Page mit Optimizepress" |
| "Im Videokurs erfhrst du alle relevanten Fakten um eine hoch konvertierende Landingpage zu erstellen. Du schaust mir ber die Schulter whrend ich verschiedene Landingpages mit dem Tool Optimizepress erstelle, und kannst diese anschlieend 1 zu 1 nachbauen. Im Kurs wird auch erklrt wie du Optimizepress richtig installierst, falls du es noch nicht haben solltest. Neben den wichtigsten Elementen einer Landingpage zeige ich dir welche Dinge notwendig sind um im Internet tatschlich zu verkaufen. Zum Ende hin gibt es noch Tricks wie du mehr Eintragungen in deine Emailliste bekommst."
Price: 19.99 |
| "Getresponse Email Marketing fr Anfnger" |
| "Mit dem Kurs bekommst du die wichtigsten Grundlagen um mit einem Emailmarketing Programm Emails zu versenden die ein passives Einkommen aufbauen. Geeignet fr digitale Infoprodukte kann aber auch fr physische Produkte verwendet werden. Dabei lernst du die Einrichtung des Email Marketing Programms Getresponse, um automatisiert Emails zu versenden und deinen Verkaufsfunnel einzurichten."
Price: 34.99 |
| "itme ve itme Kayb Eitimi (Materyal Hediyeli)" |
| "itme ve itme Kayb Eitimi setim animasyonlardan olumakta ve bu alanda farkndalk oluturabilebilmek adna bilgiler iermektedir.Konu balklar u ekildedir:1: Ne Zaman Duymaya Balarz? itme Nedir? itme Kayb Nedir?2: Desibel ve Hertz3: itme Kayb Seviyeleri4: Ses Aralklar5: itme Kayb Tipleri6: ocuklarda itme Kaybnn Belirtileri7: itme Kaybnn Tehisi8: 0-1 Ya Geliim Dnemleri9: 1 Ya ve zeri Geliim Dnemleri10: itme Testleri Odyolojik Testler11: itme Testleri Timpanometrik Testler12: itme Testleri BERA-ABR-BAEP13: itme Testleri Oto Akustik Emisyon Testi14: itme Testleri Saf Ton Odyometri Testi15: itme Testleri Kemik letimi Testi16: Odyogram Yorumlama17: itme Cihaz - itme Cihaz eitleri - itme Cihaznn Bakm18: Koklear mplant - Koklear mplantn Paralar19: Koklear mplantn almas - Koklear mplantl Hastann Sesi Alglamas20: FM Sistemleri21: Seslerin Desibel Aralklar22: letiim Yntemleri23: aret Destekli letiim Yntemleri24: Doal itsel Szel Yntem25: Konumay Hzlandrmak in Neler Yaplmal?26: Kulam Neden nlar?27: Sesim Bana Neden Garip Geliyor? Eitim setimi alan herkese zel materyal arivi hediye. Bu arivde sral kartlar-tek kartlar-doru yanl kartlar jpg formatnda link olarak paylalacaktr (1 GB). Bu kartlar uygun ekilde kullanlrsa; birey gnlk hayatta karlat olay-durum lara kar gerekli szck daarcna sahip olacak, dinleme becerisini gelitirecek, cmle yapsna uygun kurall cmleler ile iletiime geebilecek, doru olan davran ve yanl olan davran grerek ayrt etmeyi renecek, olaylar arasnda sralama yapabilecek, neden sonu ilikisi kurabilecek, kendisini karttaki bireyin yerine koyarak yanstma yapabilecek, tahmin etme becerisini gelitirebilecek, daha uzun ritmik cmleler kurabilecek, ortak ilgi-sra alma-gz konta alanlarnda ilerleme gsterebilecek"
Price: 49.99 |
| "How to Learn the Art of Email Marketing [Real Life Examples]" |
| "Wondering how you can use email for your business, blog, or coffee shop? Wondering what do you send your list?Email is a component of your content strategy. Email Marketing is simply using email to distribute your messages.It doesn't matter whether you have a product or service to sell. Every message that you put across to an audience is a marketing message.Maybe you want them to try a new strategy....or you want to persuade them to click on a link to read somethingThat's a message right there!You know an email marketing is important. But you don't know what to send your list and improve Conversion rate, right?Growing a list is good.Nurturing and engaging your subscribers is better.But getting paid because your subscribers love to buy from you and find your content helpful is the best.But how can you do it?You need to make sure you have a simple email marketing planThat's exactly what this course addresses. This course will help Bloggers, Businesses, and Solopreneurs to get started with email from scratch. Its a collection of my own tested and proven email marketing techniques that you can use. In this course, youll discover:How can you build a quality email list?How to maintain quality of your list.How can you segment your list?How to create engaging subject line that get opened.How to craft an interactive welcome email.How can you make your email content human and natural?How to improve your email conversion rateHow can email automation help you?Youll have a better understanding of what you need to do and the direction you need to head toward.Now, before we dive in, you may want to know a bit about me:Who am I to be teaching you this?I'm Pawan, a Certified Email Marketing specialist and blogger. I help in creating content marketing strategy for individuals, solopreneurs, and small businesses like you.Lets start the course NOW!"
Price: 19.99 |
| "Solid works basics in 3d modeling & design a basic f1 car" |
| "Solid Worksis a computer-aideddesign(CAD) and computer-aidedengineering softwarethat runs onwindowsplatform.Solid Works is published byI will provide you with example files to practice what you have learned in the class and it to create real-world designs.for you to learn this you to have a graduation degree or knowledge of how to design a part and basic computer knowledgeyou need to have Solid Works 2018 student version pre installed"
Price: 1280.00 |
| "solid works tools with industry related examples gears etc" |
| "Solid Worksis a computer-aideddesign(CAD) and computer-aidedengineering softwarethat runs onwindowsplatform.Solid Works is published byI will provide you with example files to practice what you have learned in the class and it to create real-world designs.for you to learn this you to have a graduation degree or knowledge of how to design a part and basic computer knowledgeYou need to have Solid Works 2018 student version pre-installedIN THIS COURSE YOU LEARN ABOUT ASSEMBLY FEATURES WHICH ARE IMPORTANT SUCH AS ASSEMBLY MATES WITH SPECIAL FEATURES FOR MECHANICAL DESIGNS SUCH AS GEARS CAMS AND RACK AND PINION IMPACT OF FORCES SPRING EFFECTS ON MOTIONS FOR 3D MODELS DURING THE MECHANICS MOTION BELOW ARE THE COURSES VIDEOS AND TOPICS WHICH WILL BE COVERED COURSE CURRICULUM Section 1:Introduction to COURSESection 2:SOLID WORKS ASSEMBLY & EQUATIONS etc.Lecture 2 : SOLID WORKS EQUATIONSLecture 3:SOLID WORKS ASSEMBLY MATES Lecture 4:SOLID WORKS TOOLBOXSection 3:SOLID WORKS SIMULATIONLecture 5: MESHINGLecture 6: STATIC SIMULATIONLecture 7: BUCKLING SIMULATIONSection 4: SOLID WORKS MOTION STUDY AND ANALYSISLecture 8: SOLID WORKS MOTION STUDYLecture 9:SPUR GEARLecture 10: GEAR TRAINLecture 11: CUTTING PLIERS EXAMPLE TORQUE SIMULATION USING MOTION ANALYSISLecture 12: DIFFERENTIAL BEVEL GEAR EXAMPLE"
Price: 19.99 |
| "DESIGN OD GEARS & GEAR TRAIN MOTION ANALYSIS" |
| "Solid Works is a computer-aided design(CAD) and computer-aided engineering software that runs on windows platform. Solid Works is published by I will provide you with example files to practice what you have learned in the class and to create real-world designs.for you to learn this you to have a graduation degree or knowledge of how to design a part and basic computer knowledgeyou need to have Solid Works 2018 student version pre-installedThis course is a advanced course on gears and its terminology so basic knowledge of the topic is required Gear train commonly known as gear box are widely used in different machines mainly in those who perform some form of motion"
Price: 1280.00 |
| "Microsoft Excel Masterclass for Business Managers" |
| "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 4 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 |
| "SQL Masterclass: SQL for Data Analytics" |
| "6 Reasons why you should choose this SQL courseCarefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businessesComprehensive - covers basics, advanced SQL statements, interview tips and performance tuning tips as wellBusiness related examples and case studiesAmple practice exercises because SQL requires practiceDownloadable resourcesYour queries will be responded by the Instructor himselfA Verifiable Certificate of Completion is presented to all students who undertake this SQL course.Why should you choose this course?This is a complete tutorial on SQL which can be completed within a weekend. SQL is the most sought after skill for Data analysis roles in all the companies. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that. 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 SQL 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. By the end of this course, your confidence in using SQL will soar. You'll have a thorough understanding of how to use SQL for Data analytics as a career opportunity.Go ahead and click the enroll button, and I'll see you in lesson 1!CheersStart-Tech AcademyFAQ'sWhy learn SQL?SQL is the most universal and common used database language.It powers the most commonly used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Simply put,If you want to access databases then yes, you need to know SQL.It is not really difficult to learn SQL. SQL is not a programming language, its a query language. The primary objective where SQL was created was to give the possibility to common people get interested data from database. It is also an English like language so anyone who can use English at a basic level can write SQL query easily.SQL is one of the most sought-after skills by hiring employers.You can earn good moneyHow much time does it take to learn SQL?SQL 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 SQL 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 SQL quickly.What are the steps I should follow to learn SQL?Start learning from the basics of SQL. The first 10 sections of the course cover the basics.Once done with the basic try your hands on advanced SQL. Next 10 sections cover Advanced topicsNext few sections will cover help you with interviews and Vivas.Practice your learning on the exercise provided in every section.What's the difference between SQL and PostgreSQL?SQL is a language. Specifically, the ""Structured Query Language""PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS's, others of which are Oracle, Informix, MySQL, and MSQL.All of these RDMSs use SQL as their language. Each of them have minor variations in the ""dialect"" of SQL that they use, but it's all still SQL.Which is better, PostgreSQL or MySQL?Both are excellent products with unique strengths, and the choice is often a matter of personal preference.PostgreSQL offers overall features for traditional database applications, while MySQL focuses on faster performance for Web-based applications.Open source development will bring more features to subsequent releases of both databases.Who uses these databases?Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype.What's special about this course?The course is created on the basis of three pillars of learning:Know (Study)Do (Practice)Review (Self feedback)KnowWe have created a set of concise and comprehensive videos to teach you all the SQL related skills you will need in your professional career. DoWe also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.ReviewCheck if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty. Bonus LecturesApart from this, their is a bonus section which covers important topics from the view of job interviews and Vivas.The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of SQL in today's corporate world."
Price: 199.99 |
| "Start Machine Learning Here: Linear Regression model in R" |
| "You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in R, 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 R and analyze its result. Confidently practice, discuss and understand Machine Learning conceptsA Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.How this course will help you?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 - 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 - 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 4 - 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 5 - 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 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.Why use R for data 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 |
| "Linear Regression Analysis in Python-Machine Learning Basics" |
| "You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, 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 Python and analyze its result.Confidently practice, discuss and understand Machine Learning conceptsA Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.How this course will help you?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 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 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 deviationSection 2 - Python basicThis section gets you started with Python.This section will help you set up the python and Jupyter environment on your system and it'll teachyou how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.Section 3 - 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 4 - 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 5 - 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 Python 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 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 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 where we actually run each query with you.Why use Python for data Machine Learning?Understanding Python is one of the valuable skills needed for a career in Machine 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.Machine 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: 29.99 |
| "Data Visualization in Excel: All Excel Charts and Graphs" |
| "What are the chart types I will learn in this course?Excel offers the following major chart types. All of these are covered in this course Column Chart Line Chart Pie Chart Doughnut Chart Bar Chart Area Chart XY (Scatter) Chart Bubble Chart Stock Chart Surface Chart Radar Chart Combo Chart Pivot Chart SparklinesAnd many other creative ones :)How are charts useful in Excel?A chart is a tool you can use in Excel to communicate data graphically. Charts allow your audience to see the meaning behind the numbers, and they make showing comparisons and trends much easier.What are the benefits of using charts in Excel?Excel charts allow spreadsheet administrators to create visualizations of data sets. By highlighting a set of data within an Excel spreadsheet and feeding it into the charting tool, users can easily create various types of charts in which the data is displayed in a graphical way.This course will answer all the questions that would pop up while you set to visualize your data using Excel charts such as:How do you make Excel charts look better?How do you format a chart in Excel?What are the different elements of charts?How do I make those awesome infographics that I see in fancy magazines and TV reports?How do I create a comparison chart in Excel?What is the best chart to use for comparison?And many more...How is this course different from other resources available online?Most courses only cover only teach how to draw different types of charts in Excel. The main point is missed. The main point of creating a chart is that you want to convey a message or tell a story using the chart. In this course, once you have learnt all the charting tools, you will also learn how you should create a chart. How you can highlight your message and avoid clutter in the chart, so that when your audience looks at the chart, the message is clearly conveyed to them."
Price: 29.99 |
| "Machine Learning: Logistic Regression, LDA & K-NN in Python" |
| "You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in Python, right?You've found the right Classification modeling course!After completing this course you will be able to:Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.Create different Classification modelling model in Python and compare their performance.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 Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNNWhy should you choose this course?This course covers all the steps that one should take while solving a business problem using classification techniques.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 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 deviationSection 2 - Python basicThis section gets you started with Python.This section will help you set up the python and Jupyter environment on your system and it'll teachyou how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.Section 3 - 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 4 - Data Pre-processingIn 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 5 - Classification ModelsThis section starts with Logistic regression and then covers Linear Discriminant Analysis and K-Nearest Neighbors.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 performance using confusion matrix, how categorical variables in the independent variables dataset are interpreted in the results, test-train split 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 classification model in Python will soar. You'll have a thorough understanding of how to use Classification 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.Which all classification techniques are taught in this course?In this course we learn both parametric and non-parametric classification techniques. The primary focus will be on the following three techniques:Logistic RegressionLinear Discriminant AnalysisK - Nearest Neighbors (KNN) How much time does it take to learn Classification techniques of machine learning?Classification 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 classification 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 classification.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 Python for Machine Learning?Understanding Python is one of the valuable skills needed for a career in Machine 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.Machine 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: 29.99 |
| "Machine Learning Basics: Logistic Regression, LDA & KNN in R" |
| "You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in R, right?You've found the right Classification modeling course covering logistic regression, LDA and kNN in R studio!After completing this course, you will be able to: Identify the business problem which can be solved using Classification modeling techniques of Machine Learning. Create different Classification modelling model in R and compare their performance. 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 Classification techniques of machine learning, such as Logistic Regression, Linear Discriminant Analysis and KNNWhy should you choose this course?This course covers all the steps that one should take while solving a business problem using classification techniques.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 statistics then graphical representations to describe the data and then a lecture on measures of center like mean median and mode and lastly measures of dispersion like range and standard deviation 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 - 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 4 - Data Pre-processingIn 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 5 - Classification ModelsThis section starts with Logistic regression and then covers Linear Discriminant Analysis and K-Nearest Neighbors.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 performance using confusion matrix, how categorical variables in the independent variables dataset are interpreted in the results, test-train split 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 classification model in R will soar. You'll have a thorough understanding of how to use Classification 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.Which all classification techniques are taught in this course?In this course we learn both parametric and non-parametric classification techniques. The primary focus will be on the following three techniques:Logistic RegressionLinear Discriminant AnalysisK - Nearest Neighbors (KNN) How much time does it take to learn Classification techniques of machine learning?Classification 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 classification 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 classification.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 |
| "Marketing Analytics: Pricing Strategies and Price Analytics" |
| "You're looking for a complete course on pricing strategies and pricing analytics that maximize your firm revenue/profit, right?You've found the right Marketing Analytics: Pricing Strategies course! This course teaches you everything you need to know about different pricing strategies and how to implement it using profit maximizing price points.After completing this course you will be able to:Implement pricing strategies such as simple linear pricing, price bundling, giving quantity discount, price skimming, applying two part tariffs and many more.Increase revenue/profit of your firm by implementing revenue / profit maximizing price point using Excel solver Add-inConfidently practice, discuss and understand different Pricing strategies used by organizationsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Pricing Strategies and Price Analytics course.If you are a business manager or an executive, or a student who wants to learn and apply Pricing strategies in real world problems of business, this course will give you a solid base for that by teaching you the most popular pricing strategies 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 each Pricing strategyStep-by-step instructions on how to arrive at revenue/profit maximizing price points 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 course We 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 pricing impacts revenue and profitability is one of the most important issues faced by managers. In this course, we will explore how one can use analytics to determine the pricing strategy to be used, that helps achieve the objectives of the company.Let me give you a brief overview of the courseSection 1 - IntroductionIn this section we will learn about the course structure and the steps involved in devising a pricing strategies.Section 2 - Step 1: Setting a Pricing ObjectiveIn this section, we will discuss about different pricing objectives that a firm Section 3 - Step 2: Estimating DemandIn this section we will learn different types of Demand Curve We will also learn how to quickly estimate demand curves using ExcelSection 4 - Step 3: Estimating CostsCost curves plays an important role in profit maximizing problems. In this section, we will learn how to estimate cost functions. we will also learn the effect of complimentary goodsSection 5 - Step 4: Analyzing competitorsIn This section we will learn about analyzing competitors strategy and its effect on our pricing strategySection 6 - Step 5: Evaluating Pricing StrategiesOnce we have demand and cost we can estimate revenue and profit at different price points and using different pricing strategies. In the section, we will be discussing a lot of pricing strategies such as simple linear pricing, price bundling, giving quantity discount, price skimming, applying two part tariffs and many more. All these are pricing strategies which companies are actually using. We will see what's the thought and analytics that goes behind the decision of choosing a particular strategy.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 |
| "Marketing Analytics: Forecasting Models with Excel" |
| "You're looking for a complete course on understanding Forecasting models to drive business decisions involving production schedules, inventory management, manpower planning, and many other parts of the business., right?You've found the right Marketing Analytics: Forecasting Models with Excel! This course teaches you everything you need to know about different forecasting models 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, Ratio to Moving Average, Winter's method for exponential smoothing with trend and seasonality, famous Bass diffusion model and many more.Increase revenue/profit of your firm by implementing accurate forecasting using Excel solver Add-inConfidently practice, discuss and understand different Forecasting models used by organizationsHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with 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 dataset 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 - Handling Changing Trend & Seasonality over timeIn this section we will learn about Winters Method that changes trend and seasonal index estimates during each period has a better chance of keeping up with changes than other methods.Section 8 - Forecasting models for New ProductsIn this section we will learn techniques to forecast new product sales. It is difficult to forecast when we have little or no historical data. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product is launched in the market.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 |
| "Decision Trees, Random Forests, AdaBoost & XGBoost in Python" |
| "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 Python, 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 Python 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 on Linear Regression: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 - Python basicThis section gets you started with Python.This section 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.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, Baggind, Gradient Boosting, AdaBoost and XGBoost.By the end of this course, your confidence in creating a Decision tree model in Python 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 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 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 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 where we actually run each query with you.Why use Python for data Machine Learning?Understanding Python is one of the valuable skills needed for a career in Machine 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.Machine 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: 29.99 |
