About this Training

This hands-on course equips learners with the skills to analyze, visualize, and interpret data using R, a powerful language for statistics and research. Participants will cover R programming fundamentals, data manipulation, exploratory data analysis, and advanced statistical modeling. Through practical exercises and real-world datasets, learners will gain the confidence to perform robust analyses, create insightful visualizations, and apply statistical techniques to solve research, business, and analytics challenges effectively.

What You'll Learn

• Module 1: Introduction to R Programming – Basics of R and RStudio
• Module 2: Data Structures & Manipulation – Vectors; data frames and dplyr
• Module 3: Data Cleaning & Preprocessing – Handle missing values; outliers and formatting
• Module 4: Data Visualization with ggplot2 – Build clear and professional charts
• Module 5: Descriptive & Inferential Statistics – Summarize data and perform hypothesis testing
• Module 6: Regression Analysis – Linear and logistic regression models
• Module 7: Real-World Projects – Apply skills to case studies and datasets
• Module 8: Reporting & Documentation – Create reproducible reports with R Markdown