We may earn an affiliate commission when you visit our partners.
Course image
Emmanuel Segui

In this 1-hour long project-based course, you will learn everything you need to know to get started with RStudio IDE, including how to install RStudio onto your Windows, MAC or Linux machine, how to use RStudio Cloud, a lightweight, cloud-based version of RStudio, how to start creating R projects, install and load R packages, as well as display interactive maps, graphs and tables with 1 line of code.

Read more

In this 1-hour long project-based course, you will learn everything you need to know to get started with RStudio IDE, including how to install RStudio onto your Windows, MAC or Linux machine, how to use RStudio Cloud, a lightweight, cloud-based version of RStudio, how to start creating R projects, install and load R packages, as well as display interactive maps, graphs and tables with 1 line of code.

This course is perfect if you want to start learning R programming with RStudio: the Premiere IDE for R

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Enroll now

Two deals to help you save

We found two 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.

What's inside

Syllabus

Project Overview
By the end of this project, you will know everything you need to get started with RStudio IDE, how to create projects, install and load packages, as well as display interactive maps, graphs and tables with 1 line of code.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides real-world context to enhance comprehension
Suitable for complete beginners to RStudio IDE
Introduces the basics of R programming with RStudio IDE
Provides hands-on experience through project-based learning
Covers essential aspects of RStudio IDE, including project creation and package management
Emphasizes practical skills for data visualization

Save this course

Save Getting Started with Rstudio to your list so you can find it easily later:
Save

Reviews summary

Comprehensive introduction to rstudio

Learners say Getting Started with Rstudio is an excellent course that's a great way to be introduced to Rstudio. They say that the guided project is amazing and that the instructor is very good. According to students, the lessons are easy to follow and it's perfect for beginners.
Provides overview of Rstudio
"Gives good overview of how to get started with Rstudio."
Instructor is great
"The instructor is great, patient and very detailed in his directions."
"They did a great job of explaining everything and were very clear."
Perfect for beginners
"Great for anyone who wants to learn from scratch"
"If you are interested in R programming and just getting started..."
Amazing guided project
"Amazing guided project"
"If you are interested in R programming...try this guided project."

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 Rstudio with these activities:
Review R Data Types and Structures
This activity will help you review the different data types and structures available in R, which is essential for working with data effectively.
Browse courses on Data Types
Show steps
  • Review the R Data Types Tutorial
  • Complete the R Data Types Exercises
Familiarize Yourself with RStudio IDE
This tutorial will walk you through the basics of using RStudio, including how to install and load packages, create and manage projects, and create and edit R code.
Browse courses on RStudio IDE
Show steps
  • Watch the RStudio IDE Tutorial
  • Install RStudio
  • Create a New RStudio Project
Mentor a New R User
This activity will give you the opportunity to share your knowledge of R with others by mentoring a new R user.
Browse courses on Mentoring
Show steps
  • Find a New R User to Mentor
  • Set Up a Regular Meeting Schedule
  • Provide Guidance and Support to Your Mentee
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a Visual Representation of Your Data
This project will give you the opportunity to create a visual representation of your data using R's powerful visualization capabilities.
Browse courses on Data Visualization
Show steps
  • Choose a Dataset and Import it into R
  • Create a Graph or Chart to Visualize Your Data
  • Export Your Visualization as an Image or PDF
Build a Simple R Package
This project will give you the opportunity to create your own R package, allowing you to organize and share your code with others.
Browse courses on R Packages
Show steps
  • Design Your R Package
  • Write the Code for Your R Package
  • Test and Document Your R Package
  • Publish Your R Package to CRAN or GitHub
Contribute to an Open-Source R Project
This activity will give you the opportunity to contribute to the R community by contributing to an open-source R project.
Browse courses on Open Source
Show steps
  • Find an Open-Source R Project to Contribute To
  • Identify an Issue or Feature to Work On
  • Submit a Pull Request with Your Changes
Participate in an R Coding Competition
This activity will give you the opportunity to test your R skills by participating in an R coding competition.
Browse courses on Challenges
Show steps
  • Find an R Coding Competition to Participate In
  • Prepare for the Competition
  • Submit Your Solution to the Competition

Career center

Learners who complete Getting Started with Rstudio will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course in RStudio can be useful for Data Scientists as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Data Scientists develop their skills in these areas.
Business Analyst
A Business Analyst uses data analysis and other techniques to solve business problems and improve organizational performance. This course in RStudio can be useful for Business Analysts as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Business Analysts develop their skills in these areas.
Statistician
A Statistician applies mathematical and statistical methods to collect, analyze, interpret and present data. This course in RStudio can be useful for Statisticians as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for statistical analysis and visualization, and this course can help Statisticians develop their skills in these areas.
Data Analyst
A Data Analyst examines and interprets data to extract meaningful insights and communicate them to stakeholders. This course in RStudio can be useful for Data Analysts as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Data Analysts develop their skills in these areas.
Financial Analyst
A Financial Analyst analyzes financial data to make recommendations on investments and financial planning. This course in RStudio can be useful for Financial Analysts as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Financial Analysts develop their skills in these areas.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning. This course in RStudio can be useful for Data Engineers as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Data Engineers develop their skills in these areas.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze data and make predictions or recommendations. This course in RStudio can be useful for Quantitative Analysts as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Quantitative Analysts develop their skills in these areas.
Market Researcher
A Market Researcher conducts research to understand consumer behavior and market trends. This course in RStudio can be useful for Market Researchers as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Market Researchers develop their skills in these areas.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course in RStudio may be useful for Software Engineers who are interested in using R for data analysis and visualization. RStudio is a popular tool for data analysis and visualization, and this course can help Software Engineers develop their skills in these areas.
Data Journalist
A Data Journalist uses data analysis and visualization to tell stories and communicate information. This course in RStudio can be useful for Data Journalists as it provides a foundation in the R programming language and the RStudio IDE. RStudio is a popular tool for data analysis and visualization, and this course can help Data Journalists develop their skills in these areas.
Web Developer
A Web Developer designs, develops, and maintains websites and web applications. This course in RStudio may be useful for Web Developers who are interested in using R for data analysis and visualization. RStudio is a popular tool for data analysis and visualization, and this course can help Web Developers develop their skills in these areas.
Marketing Analyst
A Marketing Analyst conducts research to understand consumer behavior and market trends. This course in RStudio may be useful for Marketing Analysts who are interested in using R for data analysis and visualization. RStudio is a popular tool for data analysis and visualization, and this course can help Marketing Analysts develop their skills in these areas.
User Experience Researcher
A User Experience Researcher studies how users interact with products and services. This course in RStudio may be useful for User Experience Researchers who are interested in using R for data analysis and visualization. RStudio is a popular tool for data analysis and visualization, and this course can help User Experience Researchers develop their skills in these areas.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical methods to solve problems in business and industry. This course in RStudio may be useful for Operations Research Analysts who are interested in using R for data analysis and visualization. RStudio is a popular tool for data analysis and visualization, and this course can help Operations Research Analysts develop their skills in these areas.
Product Manager
A Product Manager plans, develops, and manages products. This course in RStudio may be useful for Product Managers who are interested in using R for data analysis and visualization. RStudio is a popular tool for data analysis and visualization, and this course can help Product Managers develop their skills in these areas.

Reading list

We've selected 13 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 Rstudio.
Comprehensive introduction to R for data science. It covers everything from data import and cleaning to data visualization and statistical modeling. It great resource for anyone who wants to learn how to use R for data science.
Comprehensive reference guide to R. It covers everything from basic syntax to advanced statistical techniques. It great resource for anyone who wants to learn more about R.
Textbook on data science with R. It covers everything from data import and cleaning to data visualization and statistical modeling. It great resource for anyone who wants to learn how to use R for data science.
Is an introduction to R programming for beginners. It covers everything from basic syntax to data visualization. It great resource for anyone who wants to learn how to use R.
Classic text on applied statistics with S-PLUS. It covers everything from basic statistical concepts to advanced statistical techniques. It great resource for anyone who wants to learn more about statistics.
Guide to ggplot2, a popular R package for data visualization. It covers everything from basic plots to advanced visualizations. It great resource for anyone who wants to learn how to create beautiful and informative data visualizations.
Guide to the art of R programming. It covers everything from writing efficient code to debugging and profiling. It great resource for anyone who wants to learn how to write better R code.
Collection of recipes for common R tasks. It covers everything from data import and cleaning to data visualization and statistical modeling. It great resource for anyone who wants to learn how to solve common R problems.
Is an introduction to R programming for everyone. It covers everything from basic syntax to data visualization. It great resource for anyone who wants to learn how to use R.
Is the official manual for the R Project for Statistical Computing. It covers everything from basic syntax to advanced statistical techniques. It great resource for anyone who wants to learn more about R.
Guide to deep learning with R. It covers everything from basic concepts to advanced techniques. It great resource for anyone who wants to learn how to use R for deep learning.
Guide to natural language processing with R. It covers everything from basic concepts to advanced techniques. It great resource for anyone who wants to learn how to use R for natural language processing.

Share

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

© 2016 - 2024 OpenCourser