Chevron Left
Back to Data Analysis with R Programming

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

4.8
stars
10,584 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.

Filter by:

251 - 275 of 2,180 Reviews for Data Analysis with R Programming

By ECFFAHR E C F F A H R

•

Nov 15, 2024

I am excited to be opportuned to advance my carreer in data analytics via google. Thanks for your regular financial aid. I started with Data,data everywhere now completed R and I look forward to completing with capstone. Great.

By ranjana p

•

Jul 19, 2023

A very good introduction to R language for data analysis. The instructor seems to enjoy teaching the course and makes a lot of effort to make sure that even people without any programming background can understand the material.

By Lawal Q

•

Jul 10, 2022

This is the perfect course for anyone trying to know the nooks and crannies of Data Analytics. Once you complete this course and partake in most of the exercises, be confident that you are good to go in the data world. I love it

By Kapil C

•

Aug 6, 2021

Wonderfully explained R programming, You are a great teacher Carrie. This is my first programming language, which I have started learning. Thanks Coursera, Google and again Carrie for creating a wonderful platform for learning.

By Ebenezer E

•

Sep 3, 2023

Just love everything about this course, rich content, knowledgeable & humble instructor, great videos, lots of resources to reference and the fact that one can transfer the skills to areas like pyton,sql ect. Impressive!!!

By Wagner d M B

•

Jul 23, 2022

Foi um dos melhores cursos de linguagem de programaçao que ja fiz. Essa parceria entre a Coursera e o Google simplesmente fizeram a nossa vida academica se tornar muito mais eficiente.

Muito obrigado ao Google e a Coursera.

By Hector V

•

Feb 7, 2022

R programming is such a powerful tool. After this course, you will get the insights one different benefits of R, Rstudio, Rmarkdown. From customizing your data to adding it to an PDF,HTML format with a couple lines of code.

By Páris P N

•

Nov 12, 2021

This comprehensive and well designed curriculum was strategically made to add layers and invite the brain to expand and develop carefully. I really recommend to anyone to give the time, heart and be part of the R Community.

By Janani L

•

Jun 12, 2021

This was a very well framed course which introduced me to a good amount of features of R programming with well organized lectures and notes and hands on activities. Enjoyed learning R and curious to explore more.... Thanks

By Terrell S S

•

Apr 24, 2024

Without saying too much; I love this course! It was the right amount of material, every module stacked information on top of everything previously learned and made learning coding in R a less daunting feat than it sounds.

By Fadairo O

•

Jul 18, 2022

This was my first time learning about and using R. Carrie explained it so well, even in the first week, all my fears I had about R were gone. She made it simple enough to understand and fun enough to carry learners along.

By Rachel K

•

Aug 5, 2023

Really cool instructor who was down-to-earth and not overly happy in a fake-seeming way like some others. She seemed to really love what she does and really believe in it, which rubbed off on me. Really enjoyed this one.

By Marwa I

•

Feb 6, 2023

it is not my first course in the field of data analysis but it is the first time for me to study R programming language.

the instructor is excellent in her speech and her examples which were very helpful in studying R.

By nandha k

•

Apr 4, 2022

Excelent course for beginners in R programming, especially for those who interested in data anlaytics. The course material and instructor's way of teaching are very simple and easly understandable even for big concepts.

By Farhana T

•

Aug 15, 2023

I am super satisfied. It clears my confusion and give me the basic idea and confident to do data analysis in R. I am thankful to Google for giving me the opportunity. My sincere gratitude to all the course instructors.

By Chad S

•

May 25, 2022

A perfect introduction the the R language and the RStudio IDE. This is the next to last course of the Google Data Analytics professional certificate, but I am only more interested in mastering the R language ecosystem.

By Mattia B

•

Nov 21, 2021

Took this course while already having a background with R and many other programming languages. Finally got a shot to slow down on the fundamentals of data viz, which I have always implemented copy-pasting other codes.

By Lynn W

•

Nov 5, 2022

This course has given me the confidence to use R. As a matter fact I used what I learned in this class to help a student with Data Analysis in R home work. I'm a tutor and I usually work with Python for Data Analysis.

By Samuel S

•

Jul 9, 2024

Great course. Learned R programming basics in details. I can now do all data analysis phases using just one tool (unless I want to produce dynamic visualizations, R programming's static viz tool(s) are sufficient).

By ALFREDO S

•

Feb 8, 2023

It's a very tough module - Not easy to follow up exercises but learning, practicing and making mistakes, make understand what I am learning. Need more practice and full dedication. R programming seems to be great.

By Julia G

•

Nov 27, 2022

I learned a lot in this course and I really liked the structure. I had been struggling how to determine in what order to learn each step. I highly suggest and I am looking forward to creating an awesome portfolio.

By Nick B

•

Apr 24, 2021

This was a good introduction to R with a clear explanation of the basics.

Learning hard from scratch is a steep learning curve but this course by Google simplified it. Thanks, the Google team, and the instructors.

By Suraj D

•

Jul 23, 2022

Carrie was awesome. She explained R & programming elegantly. The programming was completely new skill for me. She did her best to explain it as easily as possible. Thank You so much Carrie Madam & Team Google.

By Abdulfattah J

•

Dec 19, 2022

I love this course with passion! The content is well structured and delivered by the instructor. This is my first practical experience with programming and Carrie made it very seamless! Thank you guys. You rock!

By Bukola A

•

Jun 14, 2022

A very fun way to get introduced to R Programming. I feel confident navigating the R interface now and I am excited to keep growing in my knowledge of such an important component of the Data Analytics Ecosystem.