| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | R Programming Data Analysis Data Visualization Basic Statistics Datasets |
About the Introduction to R Programming Course
The Introduction to R Programming course is a free, beginner-friendly self-paced program designed to help learners understand the basics of R, a widely used programming language for data analysis, statistics, and research.
The course introduces core concepts such as variables, data types, basic operations, and working with datasets in R. Learners will explore how R is used in data science, research, and analytics to analyze data and generate insights. This course is ideal for beginners who want to start programming for data-related tasks.
Program Highlights
• Free beginner-level R programming course
• Online self-paced learning format
• Simple explanation of programming concepts
• Covers data handling and basic analysis using R
• Real-world examples from research and analytics
• Suitable for students and non-programmers
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to R Programming
- What is R Programming?
- Why R is Used in Data Science and Research
- Installing and Setting Up R
- Overview of R Environment
Module 2: Basics of R
- Variables and Data Types
- Vectors, Lists, and Data Structures
- Basic Operators and Expressions
- Writing Simple Commands
Module 3: Working with Data in R
- Importing and Understanding Datasets
- Basic Data Cleaning Concepts
- Exploring Data in R
- Simple Data Analysis
Module 4: Data Visualization in R
- Introduction to Plots and Graphs
- Basic Chart Types
- Visualizing Data Patterns
- Presenting Results Clearly
Module 5: Applications and Next Steps
- R in Data Science and Research
- Using R for Statistical Analysis
- Career Opportunities in Data and Analytics
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
R Programming Data Analysis Data Visualization Basic Statistics Datasets
Real-World Applications
- Analyzing data for academic and research projects
- Performing basic statistical analysis
- Visualizing data using graphs and charts
- Supporting data-driven decision-making
- Preparing for advanced data science and analytics learning
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to learn programming for data analysis using R.
- It is also useful for learners from statistics, mathematics, research, data science, business, and non-technical backgrounds.
Certification
