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

4.5
stars
611 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

G

Sep 23, 2021

Iam new beginner to the R-programming. It was taught very well to make me understand R basic skills. Thank you Coursea.

DR

Jan 31, 2026

Amazing learning experience. Plus point happened at my own pace and had a great AI assistant for personalised queries too.

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126 - 134 of 134 Reviews for Introduction to R Programming for Data Science

By Maddy R

Aug 27, 2024

This course is not made for beginners. Weeks 1 and 2 are easy to follow, but beginning with web scraping on Week 3 the course completely falls apart. There is no continuity or explanation for why you are learning these concepts or what they would be used for. The videos also give half-explanations for most of the concepts they introduce and nothing is clear until you do the exercises. The AI grading system also does not work at all. I would not recommend this course if you are trying to actually learn R.

By Matt T

Nov 7, 2025

This did not work for me. The labs were horrible, as tasks are given with very little information or just copy and pasting. I did not learn anything. There is also not enough explanation on why codes are written the way they are, just "here is the code now do it" which doesn't reinforce anything. I wasted a day and felt like I walked away having learned nothing.

By Rob I

May 8, 2023

You can tell when something has gone sideways when the forum question count for each module go along the lines of : M1 = 10, M2 = 20, M3= 10ish M4=20ish M5 = 350 threads. The training was not executed very well. Good Luck.

By Omid A M

Oct 9, 2024

Not at all well taught, not at all suitable for Beginner level. Take the similar course offered by Google, which is much more step-by-step manner than random confusing videos of this course.

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.

By Héctor R

Sep 25, 2024

hay que complementar con estudios previos o por fuera de la plataforma coursera para poder realizar las tareas.

By Zoe M

Aug 20, 2022

Jumps around a lot, doesn't give all information needed to complete the final assignment.

By Karin A

Mar 4, 2023

El laboratorio tenía muchas fallas, faltó dar a entenderse mejor.