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

4.5
stars
504 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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76 - 100 of 110 Reviews for Introduction to R Programming for Data Science

By Alia A

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Oct 6, 2022

The course is good for beginner. However, I find the example is too simple and the final project require more example to be refer. As a beginner to R, less example can be difficult for me to code and produce the exact result.

By Mark S

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Jan 5, 2023

It's a good course. For me the hands-on portion needs to be more me doing versus a written repeat of the video and hitting enter on command. My learning style is needing to do it, in order to truly understand.

By Kshitiz B

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Mar 25, 2023

It was really fast paced . The video content was understandable and nice but more practice oriented interface along with the video lectures would do the task much better.

By Ali S

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Jan 8, 2023

Could be better micromanaged for coaxing beginners but it does pack enough practical exercises to familiarize them with R fundamentals.

By Lama H B I

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Aug 5, 2021

It was very useful course, I made good use of my free time during evenings, I like the fact that there is a project at the end

By Laura R

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Oct 6, 2023

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

By intesar s

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Dec 5, 2023

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

By Amal H

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Feb 14, 2022

Very good course, and easy to engage to finish it, thank you

By CHAUHAN S S

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Nov 20, 2024

it was an incredibly valuable experience for anyone looking

By Joti R B A R

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Mar 20, 2023

It was a wonderful experience with Coursera. Thank you

By Bahareh K D

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Aug 15, 2021

It was clear and professional. Thank you so much

By Bismark S

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Oct 27, 2023

A very good course to help data scientists

By Charles B

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Nov 30, 2022

The IBM Skills Lab can be difficult to use

By JOSHI J S

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Nov 19, 2024

its good for beginner

By Susan W

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May 7, 2023

very informative,

By asma

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Jun 18, 2022

Thank you

By Asad A

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Jan 19, 2023

Great

By SALEH K

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Nov 8, 2022

yes

By Dr. M N K

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Jan 6, 2023

I have done many MOOCs over the years but doing IBM certification for data analytics is a very different experience on Coursera. This certification is designed and envisioned by those without experience in adult learning/pedagogy/course design. The result is frustration. They may have outsourced different components of courses; someone who wrote the transcripts had nothing to do with those responsible for designing projects and evaluations. Adding more icing on the cake, they have kinda forced learners to use Jupyter for R-related work in Watson Studio, which has been a total pain.

By Samantha R

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Nov 11, 2024

This course is average. I didnt feel that the content equipped me to do the exam confidently, eventhough I made an effort to understand everything and practice.

By Ian M

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Jun 11, 2022

A lot of information is technically there, but some things like the end of course peer-graded assignment feel disjointed and aren't as clear as they could be.

By Amy P

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Dec 14, 2021

I had alot of problems with the labs and I encountered questions and things in the labs that wouldn't even be introduced until a few videos later.

By Carol W

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Nov 8, 2024

Student performance would be enhanced if more time were spent on R basics.

By Karen Y B A

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Oct 18, 2022

Excelente curso. Pero la última evaluación se entendió muy poco

By Antonio Y G A

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Nov 9, 2024

I did not like this course compared to the first 4, I feel that they wanted to cover a lot of information without explaining it well. In the first courses each information they taught was well learned because the video was dedicated to a few specific things and here they covered almost 10 functions or more per video. Also the platform for the Jupyter activities when using it I had many problems and I realized that I was not the only one because when reviewing the final project several uploaded photos of the same error.