Learn how to work with data using R, a powerful language for statistical computing and visualization. This beginner-friendly course helps you explore, clean, and analyze datasets using R and its popular libraries like tidyverse, ggplot2, and dplyr. Master the essential tools to turn raw data into meaningful stories.
Course Overview
R is widely used in research, analytics, and data science for its strength in handling and visualizing data. This course introduces you to data wrangling, visualization, and analysis using RStudio. Whether you’re in academia or industry, you’ll gain hands-on experience to confidently work with data. No prior coding experience needed.
What You Will Learn
- Navigate RStudio and write basic R scripts
- Import, clean, and manipulate data using tidyverse
- Create stunning data visualizations with ggplot2
- Summarize and explore data with descriptive statistics
- Export reports and visual outputs
Course Features
- Real-world datasets and step-by-step exercises
- Supportive, self-paced online learning
- Beginner-focused explanations
- Certificate issued upon completion
Course Duration
The course is designed for 4 to 6 weeks of flexible learning. Plan for around 3 hours per week to watch lessons, complete exercises, and build projects.
Who Should Take This Course?
- Students and researchers working with data
- Beginners interested in data analytics using R
- Professionals in social sciences, health, or economics
- Anyone seeking to sharpen their data storytelling skills
What Our Students Say
“I now use R for all my research analysis, it’s clear and powerful.” – Natasha K.
“The way tidyverse was explained made data wrangling so simple!” – Jacob T.
Enroll Today
Start your journey into data analysis with R. Learn how to explore, visualize, and communicate data clearly.