Data Science and Machine Learning with R from A-Z Course [Updated for 2021]

Preview this course

In this practical, hands-on course, you’ll learn how to use R for effective data analysis and 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.

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89 on-demand videos & exercises
Level: All Levels
28hrs 50mins
Access on mobile, web and TV

What to know about this course

The course covers practical issues in statistical computing that 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 also 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. By the end of the course, you’ll be a professional data scientist with R and confidently apply for jobs and will feel good knowing that you have the skills and knowledge to back it up. All resources are placed here:

Who's this course for?

This course is designed for beginners who want to learn about data science and machine learning. No prior knowledge of R is required.

What you'll learn

  • Learn data cleaning, processing, wrangling, and manipulation.
  • Learn plotting in R (graphs, charts, plots, histograms, and more).
  • How to create a resume and land your first job as a data scientist.
  • Learn machine learning and its various practical applications.
  • Learn data and file management in R Use R to clean, analyze, and visualize data.

Key Features

  • Learn data extraction and web scraping.
  • Learn to build custom data solutions.
  • Learn automating dynamic report generation.

Course Curriculum

About the Author

Juan E. Galvan

Juan E. Galvan has been an entrepreneur since grade school. His background is in the tech space from digital marketing, e-commerce, web development to programming. He believes in continuous education with the best of a university degree without all the downsides of burdensome costs and inefficient methods. He looks forward to helping people expand their skillsets.

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