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skill track

R Programming

Learn how to code like a programmer in this beginner’s track. First, you’ll learn how to work with common data structures in R like vectors, matrices, and data frames before expanding your skills by mastering conditional statements, loops, and vectorized functions. You’ll then discover how to optimize your code using code profiling and benchmarking. Finally, you'll get to grips with writing functions and object-oriented programming (OOP). By the end of this track, you’ll be ready to tackle more complex tasks including advanced data visualization and machine learning.

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1
R
Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.

4 hours

Jonathan Cornelissen Headshot

Jonathan Cornelissen

Co-founder of DataCamp

2
R
Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

6 hours

Filip Schouwenaars Headshot

Filip Schouwenaars

Data Science Instructor at DataCamp

3
R
Writing Efficient R Code

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hours

Colin Gillespie Headshot

Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

4
R
Introduction to Writing Functions in R

Take your R skills up a notch by learning to write efficient, reusable functions.

4 hours

Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

5
R
Object-Oriented Programming with S3 and R6 in R

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

4 hours

Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

6
R
R Programming

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