Udemy

R Programming A-Z™: R For Data Science With Real Exercises!

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  • 283,065 Students
  • Updated 7/2025
4.6
(56,844 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 33 Minute(s)
Language
English
Rating
4.6
(56,844 Ratings)
5 views

Course Overview

R Programming A-Z™: R For Data Science With Real Exercises!

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

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,

What you will learn:

  • 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

Sincerely,

Kirill Eremenko

Course Content

  • 9 section(s)
  • 79 lecture(s)
  • Section 1 Hit The Ground Running
  • Section 2 Core Programming Principles
  • Section 3 Fundamentals Of R
  • Section 4 Matrices
  • Section 5 Data Frames
  • Section 6 Advanced Visualization With GGPlot2
  • Section 7 Homework Solutions
  • Section 8 Special Offer
  • Section 9 Congratulations!! Don't forget your Prize :)

What You’ll 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


Reviews

  • A
    Alexandra M. Orellana
    5.0

    This was such a thorough course and I learned a lot. The Q&A forum was also super helpful and made it feel like a live session community.

  • X
    Xola Sigenu
    5.0

    This is one of the amazing courses I have ever come across in Udemy. The teacher just makes everything simple especially for someone like me who has no background whatsoever of programming. I would recommend this course to anyone interested to learn R irrespective of ones background in programming.

  • N
    Naresh Kumar B
    5.0

    I really enjoyed taking this course, Kirill. Thank you for the well-structured lessons.

  • G
    Giselle Gonzalez Garcia
    3.0

    This course is from 2015, there has been some important changes to R that need updating, otherwise what is shown here does not work properly.

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