R Programming for Data

Course Overview

R Programming for Data introduces learners to R as a powerful language for statistical computing, data manipulation, and visualization. The course blends foundational programming concepts with hands‑on analytical techniques, enabling participants to work confidently with datasets, perform statistical analysis, and build compelling visual insights using R’s rich ecosystem of packages.

Target Audience

This course is ideal for:

• Aspiring data analysts, data scientists, and statisticians

• Researchers and academic professionals working with quantitative data

• HR, finance, marketing, and operations professionals who need statistical insights

• Students or career switchers entering analytics or research‑driven roles

• Anyone looking to strengthen their statistical and analytical toolkit using R

Course Outcomes

By the end of this course, learners will be able to:

• Write R scripts for data import, cleaning, and transformation

• Use core packages like tidyverse, dplyr, and ggplot2 for analysis and visualization

• Perform descriptive and inferential statistical analysis

• Build reproducible analytical workflows using R Markdown

• Create clear, insightful visualizations to communicate findings

• Apply R techniques to real‑world datasets across domains