Free Course • Vidaara
R Programming &
Data Analytics
A complete, Coursera-quality course in R — from syntax basics to Shiny web apps and machine learning. Concept notes, working code, solved examples, and self-assessment quizzes all in one place.
21Chapters
100+Code Examples
200+Practice MCQs
FreeAlways
Start Learning Today
Begin with Chapter 1 — no software install needed to read. When you're ready, install R and RStudio (both free) and run the code yourself.
Start Chapter 1What You Will Learn
Curriculum
21 Chapters — From Zero to Production
Beginner
Beginner Track — 3 Chapters
Chapter 1
Introduction to R & RStudio
10 hrs
Chapter 2
R Data Structures In Depth
12 hrs
Chapter 3
Data Import & Export
10 hrs
Intermediate
Intermediate Track — 8 Chapters
Chapter 4
Data Wrangling with dplyr
15 hrs
Chapter 5
Data Reshaping with tidyr
8 hrs
Chapter 6
Data Visualisation with ggplot2
15 hrs
Chapter 7
Advanced ggplot2 & plotly
10 hrs
Chapter 8
Statistical Analysis in R
12 hrs
Chapter 9
Regression Analysis
12 hrs
Chapter 15
Working with Databases in R
8 hrs
Chapter 17
Reproducible Research — R Markdown
8 hrs
Advanced
Advanced Track — 8 Chapters
Chapter 10
Time Series Analysis
10 hrs
Chapter 11
Machine Learning with caret
15 hrs
Chapter 12
Decision Trees & Random Forests
10 hrs
Chapter 13
Unsupervised Learning & PCA
10 hrs
Chapter 14
Text Mining & NLP with R
10 hrs
Chapter 16
Functional Programming with purrr
8 hrs
Chapter 18
Shiny Web Applications
15 hrs
Chapter 20
Capstone Project
30 hrs
All Levels
All Levels Track — 2 Chapters
How the Course Works
1
Read the Theory
Each concept opens with a precise explanation — no filler, no fluff. Built for real understanding.
2
Run the Code
Every concept includes working R code. Copy it into RStudio and experiment. Change values and see what happens.
3
Study Solved Problems
3 worked examples per concept — real data analysis scenarios with step-by-step solutions.
4
Self-Assess
MCQ quizzes after each concept. Try before you reveal — builds memory better than passive reading.