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Arimoro Olayinka Imisioluwa

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.

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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.

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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

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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
Compiling and reviewing RStudio documentation on version control will provide additional resources and reinforce concepts covered in the course.
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  • 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
Following tutorials on using R markdowns will enhance understanding of how to create and use R markdowns.
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  • 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
Practicing creating and linking R projects with Git and GitHub will reinforce the concepts covered in the course.
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  • 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
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Create a project to use version control for a personal or academic project
Starting a project that uses version control will provide practical experience and reinforce the skills learned in the course.
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  • 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
Mentoring other students will reinforce your understanding of version control and develop your communication and teaching skills.
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  • 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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.
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.
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.
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.

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