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Learner Reviews & Feedback for Introduction to R Programming for Data Science by IBM
481 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
HD
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.
GK
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 - 103 of 103 Reviews for Introduction to R Programming for Data Science
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 G A C
•Mar 4, 2023
El laboratorio tenía muchas fallas, faltó dar a entenderse mejor.