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

4.8
stars
10,223 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

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Great introduction to what you can achieve using R. The course material is logical and well though out and the provided links to additional resources are useful to supplement your learning further.

DL

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Great pacing to the course. A wealth of external resources shared which was valuable.

Low audio to one of the videos in module 5. Course did not cover many statistics techniques with R programming.

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1976 - 2000 of 2,126 Reviews for Data Analysis with R Programming

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

By Andres A

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Jan 31, 2023

Good

By LACHAGARI B P R

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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

By Deleted A

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Oct 25, 2022

Na

By jayesh d

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Mar 2, 2022

no

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.

By Dustin C

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Mar 23, 2022

I wish the course was longer and there were some more lessons in the hands on programming. I'm stuck now doing my capstone having learner VERY LITTLE about programming with R, for instance, cleaning data is not merely pulling up the names of all the columns in a dataframe. That's just seeing what you're working with, but in the Coursera course that was considered cleaning. I can't do any merging of dataframes, which would have been WILDLY useful. And I realize you can't cover everything, but I feel like Google and Coursera, together, didn't cover enough. This could have been such a fun course, and I was hoping it would have been slightly closer to a boot camp, but it wasn't. Not enough covered. I loved all the other courses (granted I wish ya'll covered more in SQL, BigQuery, and Sheets too) but this one seemed a big like the tip of the iceburg and cutting corners.

By dianna c

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Oct 6, 2023

The instructor speaks clearly, materials are presented clearly, the free version of the RStudio (Posit) works well and is enough to do everything the course requires. However, the course is way too easy/simple to be of any use. There are VERY few exercises. On those few exercises, it tells you what to put in, it's hardly any challenge (there is also a separate file with answers). The quizzes are also very easy. I had no prior knowledge of R going into this course but I know other programming languages and have been working in the data industry for years. I'm sure those experiences helped in making the course feel easy. However, I'm absolutely sure that with the amount of skills gained from this course, there is no way one can perform even the most basic data analysis task.