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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

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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426 - 450 of 2,178 Reviews for Data Analysis with R Programming

By Tristan C

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Sep 6, 2022

This course fills you in with EVERY detail needed to be an analyst. It covers the tools needed to preform the job as well as the steps to get one.

By Gabriela S

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Jul 12, 2022

Ha sido mi curso favorito, es una herramienta súper útil y las bases que se aprendieron en el curso son bastante sólidas + todos los recursos extra

By Thomas B

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Oct 9, 2022

This course deserves an all-star!! Learning a new language is never too easy. I am happy to have added a new programming language to my arsenal!!

By Norah G

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Sep 21, 2022

The course had an easy outline that i could follow. I learnt alot and hope to start practicing what I have learnt.

Thank you for the sponsorship

By ZIYAO G

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Apr 29, 2021

I love the practice board of this course and the teaching pace of the instructor is really nice! This is so far my favorite course of this series.

By Zakari A

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May 8, 2023

This course on R programming is awesome. I enjoyed the course, I learnt a lot, and the tutor was very good at teaching the course. Thanks Carrie!

By Amber J

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Apr 4, 2023

This course was a great crash course in programming with R. Fantastic first step for people without previous experience to get their feet wet. :)

By Kurtis D M

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Feb 14, 2023

An excellent course that moves at exactly the right pace for me. Probably the most useful course that I took as part of this certificate program.

By Kannan S N

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Jul 13, 2021

Amazing Instructor. Though I didn't had any programming knowledge, this course made it look easy for me. Now, I like the R programming very much.

By Moataz M E

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Sep 7, 2023

Wonderful organization, step-wise, exciting hands-on activity! Indeed, it is highly recommended for biginner level. It will push you levels up.

By Dr. N G

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Feb 4, 2023

Excellent experience of playing in R Studio with visualization, leaning and the data analysis process. I thoroughly enjoyed it. Thanks Carrie :)

By Rachel L

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Sep 9, 2022

This course was amazing and very enlightening. Thanks to Google and Coursera for making this course available for data analysts such as myself.

By BB

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Jul 1, 2022

The session was awesome! The instructor was very clear and concise on the information given at every session! I highly recommend this training!

By maricris r

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Nov 6, 2021

I had the most fun with this course. The instructor was very efficient in helping me understand the syntax of every code in all the activities!

By Asanda S

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Sep 9, 2022

Best decision I have ever made to learn this intensive course, it help teaches Data Analysis journey and uses real-world experience as example

By Muhammad H K

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Sep 29, 2023

My teacher were excellent people say R is difficult but she was expert and delivered complex concept swiftly. Thanks a lot teacher "Carrie"

By Valentina M

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Sep 15, 2023

Excellent - great combination of short and effective videos, learning materials and tests. I had a lot of fun and learned lots of new things.

By Obembe S D

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Jun 28, 2021

This course has gone the extra mile to teach Data Analysis for entry-level. Next thing on my planet now is to go ahead with my career change.

By Amir M

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Oct 16, 2022

In this course, I got acquainted with the basics of data analysis in R programming. I learned interesting tips about how to have clean data.

By Jessica Y

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Oct 14, 2022

While challenging, this course never failed to reach me with a wealth of useful resources. I felt empowered and guided through the process.

By Roshna A

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Apr 23, 2022

The instructor in R programming carrie was excellent she explain each n every concept very clearly hope that she teaches R for expert level.

By Alexander S

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Sep 26, 2021

course is great prepare for people what have zero experience with R. Tidyverse is easy to understand and well showcase package on beginning.

By Venkata H N

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May 13, 2024

I have learnt more libraries in R for data cleaning, data manipulation, data visualization and gained hands-on experience with the R Studio

By Ken M

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Oct 6, 2022

The course is awesome it focuses on the breadth of the R programming language which in my view is important for a begginer to be aware of.

By Bruce Z

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Jul 14, 2022

Great introduction to the many aspects of R. Next step, is to take a course that delves deeper into R and to create more practice projects.