We may earn an affiliate commission when you visit our partners.

Getting Started with Version Control in RStudio

Welcome to this project-based course Getting Started with Version Control in RStudio. In this 2 hour-long project, you will learn how to perform version control in RStudio.

By the end of this 2-hour long project, you will understand how to create R projects, link new R projects with Git and GitHub, link existing R projects with Git and GitHub from the R interface. You will also learn about R markdowns, their use and how to create them.

This course aims at learners looking to get started using the R programming language for version control. There are no hard prerequisites, and any competent computer user or anyone with a basic hang of R should complete the project successfully.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Project Overview

Welcome to this project-based course Getting Started with Version Control in RStudio. In this project, you will learn how to perform version control in RStudio. By the end of this 2-hour long project, you will understand how to create R projects, link new R projects with Git and GitHub, link existing R projects with Git and GitHub from the R interface. You will also learn about R markdowns, their use and how to create them. This project aims at learners looking to get started using the R programming language for version control. There are no hard prerequisites, and any competent computer user or anyone with a basic hang of R should complete the project successfully.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills for learners looking to get started using the R programming language for version control

Taught by Arimoro Olayinka Imisioluwa, who are recognized for their work in version control in RStudio

Builds a strong foundation for beginners in version control

No explicitly required prerequisites

Teaches skills, knowledge, and tools that are highly relevant in academia

Covers a comprehensive overview of version control using RStudio

Save this course

Save Getting Started with Version Control in RStudio to your list so you can find it easily later:

Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Version Control in RStudio with these activities:

Compile and review RStudio documentation on version control

Show steps

Compiling and reviewing RStudio documentation on version control will provide additional resources and reinforce concepts covered in the course.

Browse courses on Version Control

Show steps

Go to the RStudio documentation website.
Search for documentation on version control.
Compile the relevant documentation into a single document.
Review the documentation to reinforce your understanding of version control in RStudio.

Follow tutorials on using R markdowns

Show steps

Following tutorials on using R markdowns will enhance understanding of how to create and use R markdowns.

Browse courses on R Markdown

Show steps

Find online tutorials or documentation on R Markdown.
Follow the steps in the tutorials to create an R Markdown document.
Knit your R Markdown document to HTML or PDF.

Practice creating and linking R projects with Git and GitHub

Show steps

Practicing creating and linking R projects with Git and GitHub will reinforce the concepts covered in the course.

Browse courses on Git

Show steps

Set up a Git and GitHub account if you don't have one.
Create a new R project in RStudio and initialize a Git repository.
Link the R project to a new or existing GitHub repository.
Make some changes to the R project and commit them to your local Git repository.
Push your changes to GitHub.

Three other activities

Expand to see all activities and additional details

Show all six activities

Create a project to use version control for a personal or academic project

Show steps

Starting a project that uses version control will provide practical experience and reinforce the skills learned in the course.

Browse courses on Version Control

Show steps

Identify a project idea that interests you.
Create a new R project for your project.
Initialize a Git repository for your project.
Link your project to a GitHub repository.
Regularly commit your changes to your local Git repository.
Push your changes to GitHub.
Use version control to track changes and collaborate with others on your project.

Mentor other students in using version control in RStudio

Show steps

Mentoring other students will reinforce your understanding of version control and develop your communication and teaching skills.

Browse courses on Version Control

Show steps

Find a student who is struggling with version control in RStudio.
Offer to help them out.
Explain the concepts of version control to them.
Help them set up Git and GitHub accounts.
Guide them through the process of creating and linking R projects with Git and GitHub.

Attend a workshop on advanced version control techniques

Show steps

Attending a workshop on advanced version control techniques will enhance your skills and expose you to new concepts and best practices.

Browse courses on Version Control

Show steps

Research and find a workshop on advanced version control techniques.
Register for the workshop.
Attend the workshop and actively participate in the activities.
Take notes and ask questions to reinforce your understanding.

Career center

Learners who complete Getting Started with Version Control in RStudio will develop knowledge and skills that may be useful to these careers:

R Programmer

R Programmers perform data analysis, modelling, and visualization to help companies get insights from their data. This course teaches RStudio, an integrated development environment (IDE) for R programming, which is specifically designed for data science and analytics. This course will provide R Programmers with a strong foundation in version control to more effectively collaborate on projects.

See salaries and explore the career path for R Programmer

Data Analyst

Data Analysts collect, clean, and analyze data to extract meaningful insights. In order to effectively collaborate on projects and manage different versions of their work, Data Analysts need a solid understanding of version control. This course teaches version control using RStudio, an IDE specifically designed for data science and analytics.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to solve business problems. This course can help Data Scientists more effectively share and collaborate on projects by building a foundation in version control using RStudio, an IDE specifically designed for data science and analytics.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, test, and maintain software systems. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Software Engineers build a solid foundation in version control.

See salaries and explore the career path for Software Engineer

Statistician

Statisticians collect, analyze, interpret, and present data. This course can help Statisticians more effectively collaborate on projects by building a foundation in version control using RStudio, an IDE specifically designed for data science and analytics.

See salaries and explore the career path for Statistician

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Machine Learning Engineers build a solid foundation in version control.

See salaries and explore the career path for Machine Learning Engineer

Biostatistician

Biostatisticians apply statistical methods to solve problems in biology and medicine. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Biostatisticians build a solid foundation in version control.

See salaries and explore the career path for Biostatistician

Data Engineer

Data Engineers design, build, and maintain data pipelines. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Data Engineers build a solid foundation in version control.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical methods to analyze financial data. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Quantitative Analysts build a solid foundation in version control.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical methods to assess risk. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Actuaries build a solid foundation in version control.

See salaries and explore the career path for Actuary

Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to improve business processes. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Operations Research Analysts build a solid foundation in version control.

See salaries and explore the career path for Operations Research Analyst

Business Analyst

Business Analysts analyze business processes and develop solutions to improve efficiency. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Business Analysts build a solid foundation in version control.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts analyze financial data and make recommendations to investors. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Financial Analysts build a solid foundation in version control.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts collect and analyze data about markets and consumers. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help Market Research Analysts build a solid foundation in version control.

See salaries and explore the career path for Market Research Analyst

UX Researcher

UX Researchers study how users interact with products and services. They may use RStudio to collaborate on projects and manage different versions of their code. This course can help UX Researchers build a solid foundation in version control.

See salaries and explore the career path for UX Researcher

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Version Control in RStudio.

The R Book

Save

Provides a comprehensive overview of the R programming language. It covers topics such as data manipulation, visualization, and statistical modeling. It valuable resource for anyone who wants to learn how to use R for data science.

R Markdown

Save

Provides a comprehensive overview of R Markdown. It covers topics such as creating R Markdown documents, using R Markdown for dynamic reporting, and using R Markdown for reproducible research. It valuable resource for anyone who wants to learn how to use R Markdown for data science.

R Markdown: The Definitive Guide (Chapman &...

Paperback

R Markdown: The Definitive Guide (Chapman &...

Kindle Edition

R for Data Science

Save

Provides a comprehensive introduction to R for data science. It covers topics such as data manipulation, visualization, and statistical modeling. It valuable resource for anyone who wants to learn how to use R for data science.

R for Data Science: Import, Tidy, Transform,...

Paperback

(Deutsch) R für Data Science: Daten importieren, bereinigen,...

Kindle Edition

$$$

Version Control with Git

Save

Provides a comprehensive overview of version control, focusing specifically on using Git. It includes practical exercises and real-world examples that will help you to understand and use Git effectively in your R projects.

Version Control with Git

Kindle Edition

R Packages

Save

Provides a comprehensive overview of R packages. It covers topics such as creating, sharing, and using R packages. It valuable resource for anyone who wants to learn how to use R packages for data science.

R Cookbook

Save

Provides a collection of recipes for using R. It covers topics such as data manipulation, visualization, and statistical modeling. It valuable resource for anyone who wants to learn how to use R for data science.

R Cookbook: Proven Recipes for Data Analysis,...

Paperback

$$$

R Cookbook: Proven Recipes for Data Analysis,...

Kindle Edition

$$$

R Markdown Cookbook

Save

Provides a collection of recipes for creating R Markdown documents. R Markdown powerful tool for creating dynamic, reproducible reports and presentations. This book will teach you how to use R Markdown to its full potential.

Help others find this course page by sharing it with your friends and followers:

Facebook

Copy Link

Similar courses

Here are nine courses similar to Getting Started with Version Control in RStudio.

DevOps with GitHub and Azure: Implementing Source Control with GitHub

DevOps with GitHub and Azure: Implementing Source Control...

Most relevant

Git & GitHub - The Practical Guide

Most relevant

Git and GitHub Basics

Most relevant

Git for Beginners

Most relevant

Data Science: Productivity Tools

Most relevant

The Ultimate Git Course - with Applications in Unreal Engine

The Ultimate Git Course - with Applications in Unreal...

Most relevant

Version Control in node.js: Update Your App with GitHub

Most relevant

Git Essentials: Mastering Version Control

Most relevant

Git Fundamentals

Most relevant

Effort

2 hours

Level

Introductory

Via

Coursera

Institution

Coursera Project Network

Instructor

Arimoro Olayinka Imisioluwa

Language

English

Good to know

Develops skills for learners looking to get started using the R programming language for version control

Taught by Arimoro Olayinka Imisioluwa, who are recognized for their work in version control in RStudio

Builds a strong foundation for beginners in version control

No explicitly required prerequisites

Teaches skills, knowledge, and tools that are highly relevant in academia

Covers a comprehensive overview of version control using RStudio

Share and help others discover this course.

Facebook

Link

Don't miss out

Enroll today to gain access to this course

Enroll in this course

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.