Course Curriculum
15 Modules
Week 1
Intro to R & Basics
- • RStudio Setup & Workspace
- • Basic Operations
- • Data Types
Week 2
Data Structures I
- • Vectors
- • Lists
- • Factors
Week 3
Data Structures II
- • Matrices & Arrays
- • Data Frames
- • Tibbles
Week 4
Functions & Logic I
- • Creating Functions
- • If / Else Control flow
Week 5
Functions & Logic II
- • Logical Operators
- • For & While Loops
Week 6
Functional Programming
- • Apply family
- • purrr package
Week 7
Data Wrangling I
- • Import/Export
- • dplyr & tidyr
- • Missing Data
Week 8
Data Wrangling II
- • String Manipulation
- • Date-time (Lubridate)
Week 9
Data Visualization
- • Base R Plots
- • ggplot2 Essentials
- • Custom Themes
Week 10
Descriptive Statistics
- • Central Tendency
- • Dispersion Measures
- • Categorical Data Stats
Week 11
Inferential Statistics
- • Hypothesis Testing
- • T-tests
- • ANOVA
Week 12
Regression Analysis I
- • Linear Regression
- • Model Diagnostics
Week 13
Regression Analysis II
- • Logistic Regression
- • Interpretation
Week 14
Reporting & Causality
- • R Markdown (HTML/PDF)
- • Intro to Causal Inference
Week 15
Computational Methods
- • Web Scraping
- • Text Mining / Sentiment
- • Intro to ML