Rated Excellent

250+ Courses

30,000+ Learners

95+ Countries

INR ₹0.00
Cart

No products in the cart.

Sale!
Introduction to R Programming

Introduction to R Programming

Original price was: INR ₹499.00.Current price is: INR ₹199.00.

This course introduces learners to the fundamentals of R Programming, including its role in data science, research, and statistical analysis. It covers basic R commands, data structures, data handling, simple analysis, visualization, and practical applications in data and analytics.

Add to Wishlist
Add to Wishlist
Category:
Attribute
Detail
Format
Online, self-paced course
Level
Basic / Beginner
Duration
2–3 Weeks
Certification
e-Certification
Fee
Free Course
Tools
R Programming, Data Analysis Basics
About the 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.

Prerequisites: No prior programming experience is required. Basic computer knowledge and interest in data and analysis are sufficient.

Frequently Asked Questions
1. Is this Introduction to R Programming course free?
Yes. This is a free online self-paced course designed for beginners.
2. Do I need coding experience to learn R?
No. The course starts from basics and is suitable for non-programmers.
3. What will I learn in this course?
You will learn R basics, data handling, simple analysis, and visualization concepts.
4. Who can join this course?
Students, beginners, and professionals from any background can join.
5. Will I receive a certificate?
Yes. Learners receive an e-Certification after completing the course.
6. Is R useful for data analysis?
Yes. R is widely used for data analysis, statistics, research, visualization, and data science learning.
7. Is this course suitable for non-programmers?
Yes. This course is designed for beginners and explains R programming concepts step by step.
8. What is the duration of this course?
The Introduction to R Programming course is designed as a 2–3 week online self-paced course.
9. Does this course include data visualization?
Yes. The course introduces basic plots, graphs, chart types, and ways to present data patterns clearly.
10. What makes this R programming course beginner-friendly?
The course starts with R basics, explains variables, data types, simple commands, datasets, analysis, and visualization in simple language without requiring prior programming experience.
The Introduction to R Programming course provides a simple and structured foundation in programming for data analysis and research. It is an ideal starting point for learners who want to explore data science, statistics, and analytics using R.

Reviews

There are no reviews yet.

Be the first to review “Introduction to R Programming”

Your email address will not be published. Required fields are marked *

Related products

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

Achieve Excellence & Enter the Hall of Fame!

Elevate your research to the next level! Get your groundbreaking work considered for publication in  prestigious Open Access Journal (worth USD 1,000) and Opportunity to join esteemed Centre of Excellence. Network with industry leaders, access ongoing learning opportunities, and potentially earn a place in our coveted 

Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

14 + years of experience

over 400000 customers

100% secure checkout

over 400000 customers

Well Researched Courses

verified sources