This was a brilliant way to learn! The structure was logical, the pace was spot on, and the examples were super helpful. Highly recommend!
Foundations of R Programming
A step-by-step guide to writing R code for data manipulation, visualization, and analysis.
-
๐ฌ
AI instructor
Ask about any lesson and get a clear answer instantly, anytime. -
๐
Start anytime
No schedules or deadlines โ learn at your own pace, whenever suits you. -
๐
In English
Lessons, tasks and certificate โ all fully in your language.
About this course
What you'll get
-
๐
Certificate of completion
Add it to your LinkedIn profile -
๐ฌ
Personal AI tutor
Stuck on a lesson? Ask your built-in tutor anything, any time. -
โพ๏ธ
Lifetime access
Come back anytime, no expiry -
๐ฑ
Phone or computer
Works anywhere, any device -
๐ธ
14-day refund
No questions asked -
โก
Short & focused
2h 36m of practical content
Reviews (9)
Good foundational material. I appreciated the structured approach, although I wish there had been a few more real-world case studies.
A good introduction. The structure was mostly clear, but I wish there were a few more real-world examples. Still, learned a lot.
Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
This is exactly what I was looking for. Loved the practical examples, they really helped solidify the concepts.
Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!
This was a good introduction. The structure is logical, and it covers the basics effectively. Might be too introductory for advanced learners.
This really helped me solidify some key concepts. The explanations were excellent and the examples were very illustrative. Loved it!
Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.
Learners also took
R for Scientific Research: Data Analysis and Visualization
R Programming for Data Science, Machine Learning, and Shiny Apps
Practical Data Science in R: Regression, Forecasting, and Text Mining
Statistical Foundations with R
Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
Top up once, pay half
Add R 1,600 โ get 200 credits, so each course works out to about R 200.00. Credits never expire.
Credits apply to any course and never expire.