About Course
Master R Programming, Statistical Analysis, Data Visualization, and Research Data Analysis from Beginner to Intermediate level.
This postgraduate professional training program equips participants with practical, hands-on skills in data analysis using R and RStudio. The course covers R programming fundamentals, data structures, data importing and cleaning, exploratory data analysis (EDA), descriptive and inferential statistics, data visualization with ggplot2, and linear regression analysis.
Through guided exercises and real-world datasets, participants will develop the ability to clean, analyze, visualize, and interpret data while applying statistical methods for research and decision-making. The program concludes with a capstone project that integrates the complete data analysis workflow.
Upon successful completion, participants will be able to confidently perform statistical analyses, create publication-quality visualizations, and produce reproducible analytical reports for academic, research, and professional applications.
Course Content
WEEK 1: FOUNDATIONS & DATA PREPARATION
-
DAY 1 – Module 1: Getting Started with R
-
DAY 2 – Modules 2 & 3: R Programming Fundamentals & Control Structures
-
DAY 3 – Modules 4 & 5: Importing Data & Data Cleaning