Module 1: Introduction to R and RStudio
- What is R? History and Overview
- Installing R and RStudio
- RStudio Interface and Basic Operations
- R Syntax, Variables, and Data Types
Module 2: Data Structures in R
- Vectors, Lists, Matrices, Arrays
- Data Frames and Factors
- Importing and Exporting Data (CSV, Excel, etc.)
- Data Type Conversions
Module 3: Control Flow and Functions
- Conditional Statements (if, else, ifelse)
- Loops (for, while, repeat)
- Writing Custom Functions in R
- Applying Functions (apply, lapply, sapply)
Module 4: Data Manipulation with dplyr
- Introduction to the Tidyverse and dplyr
- Filtering and Selecting Data (filter, select)
- Arranging and Mutating Data (arrange, mutate)
- Summarizing and Grouping Data (summarise, group_by)
- Joining Data Frames
Module 5: Data Visualization with ggplot2
- Principles of Data Visualization
- Introduction to ggplot2
- Creating Various Plot Types (Scatter, Bar, Line, Boxplot)
- Customizing Plots: Aesthetics, Labels, Themes
- Advanced Visualization Techniques
Module 6: Statistical Analysis in R
- Descriptive Statistics: Summary Measures, Frequency Distributions
- Inferential Statistics: Hypothesis Testing (t-tests, ANOVA, Chi-squared)
- Correlation and Regression Analysis
- Linear Models (lm function)
Module 7: Introduction to Machine Learning with R
- Overview of Machine Learning Concepts
- Supervised Learning: Classification and Regression
- Unsupervised Learning: Clustering
- Using R Packages for ML (e.g., caret, randomForest)
- Model Evaluation and Validation
Module 8: Text Mining and Web Scraping in R
- Working with Text Data (tm package)
- Text Preprocessing: Tokenization, Stemming, Stop Word Removal
- Sentiment Analysis
- Web Scraping with rvest
Module 9: Reporting and Reproducibility with R Markdown
- Introduction to R Markdown
- Creating Dynamic Reports
- Integrating Code, Text, and Visualizations
- Exporting to HTML, PDF, and Word
Module 10: Capstone Project and Best Practices
- End-to-End Data Analysis Project using R
- Best Practices in R Programming
- Debugging and Error Handling
- Review and Q&A