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.
Data Analysis with R Programming
Data Analysis with R Programming
This course is part of Google Data Analytics Professional Certificate
Instructor: Google Career Certificates
Top Instructor
Sponsored by YC Regional Economic Development Center
628,430 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(10,673 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 33 hours
Learn at your own pace
98%
Most learners liked this course
What you'll learn
Describe the R programming language and its programming environment.
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.
Describe the options for generating visualizations in R.
Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
37 quizzes, 1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
This course is part of the Google Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.
What's included
6 videos9 readings7 quizzes1 plugin
Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.
What's included
8 videos8 readings7 quizzes1 plugin
The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.
What's included
8 videos8 readings7 quizzes1 assignment1 plugin
R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.
What's included
9 videos7 readings9 quizzes1 plugin
When you’re ready to save and present your analysis, R has different options to consider. In this part of the course, you’ll explore R Markdown, a file format for making dynamic documents with R. You’ll find out how to format and export R Markdown, including how to incorporate R code chunks in your documents.
What's included
8 videos6 readings7 quizzes
Instructor
Instructor ratings
4.8 (3,344 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.8
10,673 reviews
- 5 stars
82.54%
- 4 stars
13.22%
- 3 stars
2.48%
- 2 stars
0.73%
- 1 star
1%
Showing 3 of 10673
T
5
Reviewed on Jun 23, 2023
Very well structured course and lots of examples for practice. The presenter also is very personable and has a nice way of expressing the content. I especially emjoyed the segment on visualization.
A
5
Reviewed on Nov 26, 2021
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.
JG
4
Reviewed on Apr 27, 2022
Quite a useful course, and fairly easy to follow. Having some kind "chat" function to help in certain places would make this course much better. Not sure if that's possible, but that would be ideal.
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy