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Track
Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!
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The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company

Industry recognized certifications help you stand out and prove your skills. Prepare for certification by completing this track.
Included with Premium
Industry recognized certifications help you stand out and prove your skills. Prepare for certification by completing this track.
Included with PremiumYes, this track is designed for those who are just starting out with R for data science and want to develop their skills. This track introduces the critical concepts and techniques needed to start utilizing R for data science.
This track uses the programming language of R.
This track will benefit individuals seeking to take on data science projects, such as data analysts, data engineers, and software developers.
This track prepares you for your career by helping you develop the skills needed to confidently use R for data science. Through the courses, you will learn the vital topics of data manipulation, exploratory analysis, and machine learning. You will also gain experience working with real-world datasets, building your own functions, and creating data visualizations.
This track typically takes 88 hours to complete, as it is composed of several courses.
Skill tracks focus on helping users learn a particular language or technology. Career tracks are a collection of courses designed to help users develop a particular skill set or profession. This track is a career track, as it has been created to help users become data scientists by developing the skills necessary to use R for data science.
This track covers a range of topics related to R for data science, such as data manipulation, exploratory data analysis, experimental design, data visualization, statistical analysis, hypothesis testing, and more.
You will primarily be working with real-world datasets as you work through the courses in this track. These datasets come from a variety of sources and draw from various industries and topics.
Yes. DataCamp's industry recognized Certifications include the Data Scientist Certifications, designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Scientist.
"...took me 175 days to complete but really happy that I did it! Thx."
"Great!"
"This track is well-structured and beginner-friendly. It gave me a solid foundation in R programming, statistics, and data analysis. Highly recommended for anyone starting their data science journey."
Co-founder of DataCamp
Course
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
Course
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.
Course
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Course
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Project
Analyze the popularity of programming languages over time based on Stack Overflow data.
Analyze the popularity of programming languages over time based on Stack Overflow data.
Associate Data Scientist in R
Track
Complete