Blog » R Programming for Data Science with Real Exercises

R Programming for Data Science with Real Exercises

Online Course. Learn programming in R and R Studio. This course is for you if you want to learn how to program in R. This training is packed with real-life analytical challenges which you will learn to solve. This course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course! Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2.

What Will I Learn?

  • Learn to program in R at a good level
  • Learn how to use R Studio
  • Learn the core principles of programming
  • Learn how to create vectors in R
  • Learn how to create variables
  • Learn about integer, double, logical, character and other types in R
  • Learn how to create a while() loop and a for() loop in R
  • Learn how to build and use matrices in R
  • Learn the matrix() function, learn rbind() and cbind()
  • Learn how to install packages in R
  • Learn how to customize R studio to suit your preferences
  • Understand the Law of Large Numbers
  • Understand the Normal distribution
  • Practice working with statistical data in R
  • Practice working with financial data in R
  • Practice working with sports data in R

Description

Learn R Programming by doing!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.

In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!

I can’t wait to see you in class,

Sincerely,

Kirill Eremenko

Who is the target audience?

  • This course is for you if you want to learn how to program in R
  • This course is for you if you are tired of R courses that are too complicated
  • This course is for you if you want to learn R by doing
  • This course is for you if you like exciting challenges
  • You WILL have homework in this course so you have to be prepared to work on it

See more Data Analysis Courses here

See also...

The Complete Healthcare Artificial Intelligence Course 2022 online course for health economists

The Complete Healthcare Artificial Intelligence Course 2022

Online course. Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning ... Read more

Excel VBA - The VBA Beginner's Blueprint to Programming Excel online course for health economists

Excel VBA Beginner’s Blueprint to Programming Excel

Online course. You’re Minutes Away From Learning How To Program Excel. What you’ll learn? If ... Read more

Why health economists should learn R to improve their prospects in the job market?

Why learning R will improve your career prospects as a health economist?

Are you a health economist looking to elevate your career prospects, here are some reasons ... Read more

Google Sheets - Dashboard Design an Online Course for health economists

Google Sheets – Dashboard Design

Online Course. Creating a dynamic page with custom user input. What you’ll learn? Filter and ... Read more

Presentation training for a health economist

Improve Your Presentation Skills

Online Course. Improve your public speaking skills by using proven branding techniques to make your ... Read more

Python for Data Science and Machine Learning Bootcamp for health economics

Python for Data Science and Machine Learning Bootcamp

Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! ... Read more