Introduction to R for Data Science: A Foundational Course

DSS Vol. 2 is a thorough, introductory, 24 weeks course in Data Science in R.

Weekly workload: 3h of tuition + (ad hoc) 1h lab + (at least) 4h individual work.

Welcome to the Intro to R for Data Science:

A Foundational Data Science Course (R track)

You will be working at least three (3) hours weekly in a direct contact with Goran S. Milovanović, an expert, Senior Data Scientist, R and Python Developer, who is providing Data Science and Analytics services for some of the most complex, big datasets in the World. Note: of course it takes more than just four hours of work weekly to enter the field of Data Science. But you will get all the support that you need and you will get it directly!

Nota bene. This is not a “self-paced course”.

This website encompass all course materials, the course roadmap, and a set of useful resources to learn R.

The Sessions menu covers all 22 weekly courses sessions (week 23 and 24 cover the Course Final Workshop) and points to all relevant R Markdown Notebooks.

Overview provides the full course roadmap as well as our teaching methodology.

Many excellent R learning resources are found under Resources.


Goran S. Milovanović, Chief Scientist & Owner, DataKolektiv, Lead Data Scientist, Smartocto
Contact: goran.milovanovic@datakolektiv.com. This is free software: all content is GPL v2.0 licensed.