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

4.5

stars

485 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

Jan 29, 2022

Very good materials, clear and precise. Very useful for anyone with a knowledge of another programming language and very easy to understand for begineers. Highly recommended.

Aug 18, 2023

Great content, perfectly structured for the once who already know programmig. Beginers may need to revise/practice more to keep up with the topics.

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101 - 104 of 104 Reviews for Introduction to R Programming for Data Science

By Omid A M

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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 Héctor R

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Sep 25, 2024

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

By Zoe M

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Aug 20, 2022

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

By KARIN G A C

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Mar 4, 2023

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