Back to Introduction to R Programming for Data Science

Learner Reviews & Feedback for Introduction to R Programming for Data Science by IBM

4.5

stars

603 ratings

About the Course

When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks. You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language. The emphasis in this course is hands-on and practical learning . You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to acquire and analyze data-driven insights. No prior knowledge of R, or programming is required....

Top reviews

Oct 5, 2023

I really enjoy the content. It is clear, organized and good quality. My only problem was related with the platform.

Dec 4, 2023

The last session was short for me , but the course was amazing useful and very informative

Filter by:

126 - 130 of 130 Reviews for Introduction to R Programming for Data Science

By Rouse S M

•

Apr 3, 2025

This course it's very hard to follow if you don't have any R knowledge and it gets to the point of frustration when the hands on lab doesn't have the same demand presented in the course.