Track
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
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
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Course
Take your R skills up a notch by learning to write efficient, reusable functions.
Take your R skills up a notch by learning to write efficient, reusable functions.
Course
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
R Programming Fundamentals
Track
Complete
Co-founder of DataCamp
Yes, this track is suitable for those with no prior experience in R programming. Each course in the track is designed to teach complete beginners the basics of R programming and gradually build on those skills until the learner is confident in programming in R.
This Track is built to give you expertise in R Programming.
This track is most suitable for those looking to start a career in data science - such as Data Analysts, Data Scientists, and Software Engineers. It will also benefit those who are looking to upskill their current job.
This Track will provide you with the skills and knowledge necessary to be successful in a data-science career. You will learn how to code in R, understanding common data structures, writing efficient code, mastering object-oriented programming, and getting to grips with writing functions.
On average, it takes around 22 hours to complete this Track as it consists of several courses.
A skills track such as this will provide you with domain-specific expertise in R Programming, allowing you to apply your knowledge in R programming in your current or future career. A career track is usually a longer and more comprehensive track which will help you to transition into a new career, such as a Data Analyst or Data Scientist.
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
