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

4.8
stars
10,658 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

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.

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!

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2051 - 2075 of 2,195 Reviews for Data Analysis with R Programming

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 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.

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.

By Richard K

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May 27, 2023

The class is informative, but the instructor rushes through some of the material without thoroughly explaining how she got from step A to step B and doesn't provide enough instruction on which files and packages need to be loaded before a video demonstration begins. In addition to this, whoever put the class together got lazy toward the end as they just dumped extremely long readings about R Markdown into the course without providing adequate instructional support via video demonstrations. Overall, the class blends in well with the rest of the program, but I would suggest learning the basics of R prior to this course and reinforcing the key concepts though additional sources afterward in order to develop a working knowledge of R.

By Carolyn S

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Feb 9, 2023

I wish the course continued with the split screen practice when doing hands on. I also would have enjoyed it more if the course did not flip back and forth between SQL and Excel just do one at a time without the back and forth comparison. For beginners in some of the program I felt that some of the coding was a little too advanced for the little amount of teaching that was given for someone new at this to type out long and compound lines of code, and there not a step by step pace for video instructions. There were times I had to slide the video back a few times to see where they clicked to get this and that to happen. The overall beginning of what data analytics is was good.

By T H E _ C R O W N

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Apr 17, 2024

Not finished yet. I like the pace of the course, and the many repetitions, this helps to foster the knowledge. I am happy to have participated in this course, and I think it helped me understand the very very basic principles of R. However, one large minus: the women/teacher in the video is way to seductive and speaks very artificial, it completely steals your attention and concentration. She could speak more normal and objective, rather than immersive and subjective, this is just way too much. This became very annoying, as one is mainly focused on her (seductive) face expressions and voice and not on what she says.

By Ali N

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Aug 10, 2021

Great job at lying down the foundations so well thought out in terms of hierarchy . However, the breadth of material covered in 5 weeks, can be improved. Think of it this way: ANYONE can and will google EVERYTHING as it has become a habit at the current time. One could have googled all commands provided in this course in an hour or two (less than 20 commands covered in this course) and practice probably 10 hours to master them. These commands are pretty self explanatory after all and are independent of one's background. Could have been a lot shorter and more practice oriented.

By MARCIN P

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Feb 14, 2023

It could be much better. Many times same material was repeated 3-4 times wasting our time instead give real-life examples of analysis. Also, during the entire course, the teacher was using the same example limiting the possibility to learn something new. For me, it looks like the authors didn't have idea what to teach us.

R language is really very interesting and could be very helpful. Pity that course didn't focus properly.

...and every time repeating "load packages/libraries" is insane wasting our time.

By Yingying S

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Jan 27, 2023

To me, this course is not for the absolute beginner, even though you took the previous Data Analysis certification courses. There are some concepts learners need to know before they start the 1st lesson of programming language, otherwise they are going to lose. Luckily I have friends and class that help me to go through this part, and bring me back to the track again. I hope this course can at least introduce those kinds of concepts at the very beginning, it will help a lot.

By Joseph G

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Jun 16, 2023

This course could have been far better. It was incredibly frustrating to try and follow along with the examples and several of the practice quizzes used files from previous sections/modules that weren't mentioned as being needed for future practice in the course. It is also very weird that earlier sections are set up as temporary workspaces in R Cloud, and later ones work from files that we should have saved but aren't provided.