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R Programming Fundamentals

4.4+
14 reviews
Updated 03/2026
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.
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Track Description

R Programming Fundamentals

Develop your R programming skills and learn how to code like a programmer in this beginner’s track. Explore the R language and practice your R coding skills. 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 R 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 have more confidence in programming in R and be ready to tackle more advanced R programming tasks, including advanced data visualization and machine learning.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to R

    Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

  • Course

    2

    Intermediate R

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

  • Course

    3

    Writing Efficient R Code

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

  • Skill Assessment

    bonus

    R Programming

R Programming Fundamentals
5 Courses
Track
Complete

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Don’t just take our word for it

*4.4
from 14 reviews
57%
29%
14%
0%
0%
  • Eline
    4 months ago

  • Isaac
    6 months ago

  • Bora Mehmet
    6 months ago

    it was very instructive at the beginning but it became harder to comprehend as it progressed. could be made to easier to understand

  • Aref
    8 months ago

    Some of the training was not sequential. If you start at Square Zero, as I did, some of the commands in the assessment at the end were never taught in any the modules of the course. Seriously.

  • Elias
    8 months ago

  • Milton
    8 months ago

Eline

Isaac

Elias

FAQs

Is this Track suitable for beginners?

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.

What is the programming language of this Track?

This Track is built to give you expertise in R Programming.

Which jobs will benefit from this Track?

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.

How will this Track prepare me for my career?

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.

How long does it take to complete this Track?

On average, it takes around 22 hours to complete this Track as it consists of several courses.

What's the difference between a skill track and a career track?

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.

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