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Learner Reviews & Feedback for Data Analysis with R Programming by Google

4.8
stars
10,571 ratings

About the Course

This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Understand the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming....

Top reviews

AR

Feb 13, 2022

Carrie's enthusiam for R was contagious. She provides clear and easy to understand explanations, and she is pleasant to listen to. It was easy to follow up. I am myself an R enthusiast now. Thank you!

RK

Feb 28, 2022

Excellent course with lucid explaination. The way instructor covers the course makes you fall in love with R. All the topics are covered beautifully. Thank coursera and Google for this awesome course.

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2026 - 2050 of 2,178 Reviews for Data Analysis with R Programming

By Emanuele M

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Apr 18, 2023

Usefull

By Amir A

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Dec 6, 2023

great

By Mani k

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Sep 27, 2022

good

By G N M

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Sep 17, 2022

more

By Hitesh

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Jul 20, 2022

nice

By Neha C

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Jul 14, 2022

good

By Aqib K

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Sep 23, 2021

great

By Bavin K R

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Mar 20, 2024

good

By Mashkoor P

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Dec 3, 2023

good

By Varun K

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Jul 15, 2023

good

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Jan 31, 2023

Good

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Nov 1, 2022

good

By M K

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Aug 11, 2022

good

By mayur c

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Oct 29, 2021

best

By Merin R

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Sep 22, 2021

good

By Prabhakaran R

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Jul 27, 2021

good

By Tarun J

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Nov 21, 2022

dvv

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Oct 25, 2022

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By jayesh d

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Mar 2, 2022

no

By B-44 A T

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Nov 4, 2024

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By Dhruba M

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Sep 4, 2022

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By Jose M A G

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Jul 16, 2022

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By Christian L

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Feb 18, 2022

By ROOSHI D

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Sep 2, 2021

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By David L

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Aug 15, 2024

The content is good, but I have some comments that would make it a lot better. On the one hand, R is a programming tool so this is by no means an exhaustive program, but rather a light introduction. However, when following along, some elipsis were made and I had to keep checking with resources to understand all that was done during the exercises and lessons since there was a lot more than just what was being explained. Providing further context on why some stuff was being added to the lines of code appearing would be useful. Also, in the spirit of lightness in this lessons, a more guided programming approach would probably be better. I'd probably prefer to have more guided exercises in R on understanding what you can do (working with different datasets as well) rather than having to fill out the 'reflections', which you could clearly see they have all been looked up in chatgpt. I have a better sense now of R, but would have preferred to have probably had a more hands-on approach in this case, using google collab or Python instead to align better with what's been most widely used nowadays too.