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SYLLABUS - R PROGRAMMING TRAINING

Week 1: Introduction to R and RStudio

• Overview of R and its applications

• Installation of R and RStudio

• Introduction to the RStudio interface

• Basic R commands and syntax

Week 2: Data Types and Data Structures

• Understanding data types: numeric, character, logical, etc.

• Introduction to vectors

• Matrices and arrays

• Lists and data frames

Week 3: Data Input and Output

• Reading and writing data in R

• Common data formats (CSV, Excel, text files)

• Working with databases in R

Week 4: Data Manipulation with dplyr

• Introduction to the dplyr package

• Selecting and filtering data

• Sorting and arranging data

• Mutating and summarizing data

Week 5: Data Visualization with ggplot2

• Basics of data visualization

• Introduction to ggplot2

• Creating scatter plots, bar plots, and line graphs

• Customizing plots and adding annotations

Week 6: Control Structures and Functions

• If statements and loops

• Writing functions in R

• Scope of variables

• Error handling and debugging

Week 7: Statistical Analysis with R

• Descriptive statistics

• Inferential statistics

• Hypothesis testing

• Regression analysis

Week 8: R Markdown and Reproducible Research

• Introduction to R Markdown

• Creating reports and documents with R Markdown

• Incorporating R code into documents

• Reproducible research practices

Week 9: Version Control with Git and GitHub

• Basics of version control

• Setting up Git and GitHub

• Committing and pushing changes

• Collaborative workflows with Git

Week 10: Final Project and Review

• Individual or group project applying R programming skills

• Peer review and feedback

• Final review of key concepts

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