Course Curriculum
R ProgrammingComplete Syllabus & Module Breakdown
📚 4 Modules⏱ 2 months💼 ₹4–9 LPA
Full Curriculum
R Programming — Complete Syllabus
4 modules · all topics listed · last updated 2026
01
R Basics
- R Syntax & Data Types
- Vectors & Lists
- Data Frames
- Control Structures
02
Data Manipulation
- dplyr & tidyr
- Data Cleaning
- Merging Datasets
- String Manipulation
03
Data Visualization
- ggplot2 Graphics
- Interactive Charts with Plotly
- R Markdown Reports
- Dashboard with Shiny
04
Statistics & ML in R
- Statistical Tests
- Regression in R
- Clustering
- Random Forests with caret
Frequently Asked Questions
Why learn R when Python exists?
R is preferred in pharma, academia, clinical research, and BFSI for statistical analysis. Many companies use both — knowing R opens additional doors.
Is this course beginner-friendly?
Yes, no prior programming experience is required.
What is ggplot2?
ggplot2 is R's most powerful data visualization library, producing publication-quality charts.
Will I learn Shiny?
Yes. Shiny allows building interactive web dashboards using only R.
What industries use R?
Pharma, clinical trials, BFSI (risk modeling), academic research, and biostatistics.
R Programming
⏱2 months
💻Online + Offline
💼₹4–9 LPA
✓100% placement assistance
Tools You'll Master
RRStudioggplot2dplyrShinycaret
Career Outcomes
- ✓Data Analyst
- ✓Statistician
- ✓Biostatistician
- ✓Risk Analyst
- ✓Research Analyst
Who Should Attend
- Statistics and mathematics graduates
- Pharma and clinical research professionals
- Finance professionals doing quantitative analysis
- Researchers transitioning to data science