Unit 1: R Fundamentals
Unit 2: R Environment Setup and Configuration
Unit 3: Data Structures in R
R Programming for Technical Professionals
A comprehensive course designed to equip technical professionals with the skills to leverage R programming for data analysis, visualization, and statistical modeling in their respective domains.
Unit 1: Data Import and Export
Unit 2: Data Cleaning and Transformation with dplyr
Unit 3: Handling Missing Data
Unit 4: Data Reshaping with tidyr
Unit 1: Introduction to ggplot2
Unit 2: Common Plot Types
Unit 3: Advanced ggplot2 Techniques
Unit 4: Interactive Plots with Plotly
Unit 1: Descriptive Statistics
Unit 2: Hypothesis Testing
Unit 3: Linear Regression
Unit 4: Model Evaluation
Unit 1: Supervised Learning - Classification
Unit 2: Supervised Learning - Regression
Unit 3: Unsupervised Learning - Clustering
Unit 4: Unsupervised Learning - Dimensionality Reduction
Unit 5: Model Evaluation and Selection
Unit 1: R Markdown
Unit 2: Shiny Dashboards
Unit 3: Visualization Export and Report Generation
Unit 1: Time Series Analysis
Unit 2: Spatial Data Analysis
Unit 3: Big Data Analysis with R
Unit 4: Reproducible Research with Git and GitHub
Unit 1: R in Engineering
Unit 2: R in Scientific Research
Unit 3: R in Finance
Unit 4: R in Environmental Science
Unit 1: Coding Style and Best Practices
Unit 2: Code Profiling and Optimization
Unit 3: Parallel Computing