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Learn Data Science Machine Learning with R from AZ

Learn Data Science Machine Learning with R from AZ

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 12.49 GB | Duration: 28h 39m

Become a professional Data Scientist with R and learn Machine Learning, Data Analysis + Visualization, Web Apps + more!

What you’ll learn
Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
How to write complex R programs for practical industry scenarios
Learn data cleaning, processing, wrangling and manipulation
Learn Plotting in R (graphs, charts, plots, histograms etc)
How to create resume and land your first job as a Data Scientist
Step by step practical knowledge of R programming language
Learn Machine Learning and it’s various practical applications
Building web apps and online, interactive dashboards with R Shiny
Learn Data and File Management in R
Use R to clean, analyze, and visualize data
Learn the Tidyverse
Learn Operators, Vectors, Lists and their application
Data visualization (ggplot2)
Data extraction and web scraping
Full-stack data science development
Building custom data solutions
Automating dynamic report generation
Data science for business

Basic computer skills

Welcome to the Learn Data Science and Machine Learning with R from A-Z Course!In this practical, hands-on course you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.The course covers practical issues in statistical computing which include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R Programming to mastery.We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.Together we’re going to give you the foundational education that you need to know not just on how to write code in R, analyze and visualize data but also how to get paid for your newly developed programming skills.The course covers 6 main areas:1: DS + ML COURSE + R INTROThis intro section gives you a full introduction to the R programming language, data science industry and marketplace, job opportunities and salaries, and the various data science job roles.Intro to Data Science + Machine LearningData Science Industry and MarketplaceData Science Job OpportunitiesR IntroductionGetting Started with R2: DATA TYPES/STRUCTURES IN RThis section gives you a full introduction to the data types and structures in R with hands-on step by step training.VectorsMatricesListsData FramesOperatorsLoopsFunctionsDatabases + more!3: DATA MANIPULATION IN RThis section gives you a full introduction to the Data Manipulation in R with hands-on step by step training.Tidy DataPipe Operatordplyr verbs: Filter, Select, Mutate, Arrange + more!String ManipulationWeb Scraping4: DATA VISUALIZATION IN RThis section gives you a full introduction to the Data Visualization in R with hands-on step by step training.Aesthetics MappingsSingle Variable PlotsTwo-Variable PlotsFacets, Layering, and Coordinate System5: MACHINE LEARNINGThis section gives you a full introduction to Machine Learning with hands-on step by step training.Intro to Machine LearningData PreprocessingLinear RegressionLogistic RegressionSupport Vector MachinesK-Means ClusteringEnsemble LearningNatural Language ProcessingNeural Nets6: STARTING A DATA SCIENCE CAREERThis section gives you a full introduction to starting a career as a Data Scientist with hands-on step by step training.Creating a ResumePersonal BrandingFreelancing + Freelance websitesImportance of Having a WebsiteNetworkingBy the end of the course you’ll be a professional Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.



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