Udemy

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

Enroll Now
  • 282,331 Students
  • Updated 7/2025
4.5
(56,658 Ratings)
CTgoodjobs selects quality courses to enhance professionals' competitiveness. By purchasing courses through links on our site, we may receive an affiliate commission.

Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 33 Minute(s)
Language
English
Taught by
Kirill Eremenko, SuperDataScience Team, Ligency ​
Rating
4.5
(56,658 Ratings)
4 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

  • K
    Kather Ansari
    5.0

    The course is super informative from start to finish, and the instructor breaks everything down so it's very easy to understand. However, if you have any programming, statistics, or linear algebra experience, this course might be a bit slow, but nevertheless still helpful.

  • E
    Ephraim chidi Ezeigbo
    4.5

    It was a great match for me more especially as a beginner

  • M
    Matthew Lauer
    5.0

    Really appreciated this course. Was a great springboard for moving into more advanced R discussions. Instructor was also a good explainer in simple terms.

  • P
    Punchita Teerachawansak
    5.0

    I love how this course is designed to frequently apply the knowledge learned in the course to the useful and fascinating real world projects that spark my curiosity and creativity. Also, this course teaches me to agilely analyze data which is extremely helpful whenever I have to quickly analyze the data and discover insights. I am truly thankful for how the course is structured and designed. I improve so much from this course and learn many great techniques from this lovely instructor.

Start FollowingSee all

We use cookies to enhance your experience on our website. Please read and confirm your agreement to our Privacy Policy and Terms and Conditions before continue to browse our website.

Read and Agreed