Basics of R Programming Language for Buddies (Udemy.com)
A fun and beginner-friendly introduction to R programming with data frames, statistics, and graphs
Created by: Prof. M. Nagabhushana Rao
Last updated March 2018
What you will learn
- know about Basics of R language
- The students are able to work with Vectors,Lists, Matrices, Data frames,Basics of statistics,Basic Graphs.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.1 out of 5higher than 3% of them
- Reviews89#434 of 462 by number of reviews
- Length2.3 hoursshorter than 87% of them
- Last updatedMarch 2018earlier than 96% of them
Course Description
This course is designed for absolute beginners who want to learn the R programming language in a simple, enjoyable, and practical way. If you are new to programming or curious about R and want to learn without feeling overwhelmed, this course is perfect for you.
We start from the very basics and gradually build your understanding using easy explanations and real examples. You will first learn how to install R, understand the R environment, and write your first R programs. Step by step, you will explore data types, data frames, and basic data management, which form the foundation of R programming.
The course also introduces flow control concepts such as conditions and loops, helping you understand how programs work logically. You will learn how to create basic graphs and visualizations to represent data clearly and meaningfully. In addition, the course covers basic statistical concepts, making it easier to analyze and interpret data using R.
This course has been carefully developed with the support of a young and enthusiastic research team, focusing on clarity and hands-on learning. By the end of the course, you will be confident in using R for basic programming, data handling, statistics, and visualization and ready to explore more advanced topics in the future.
Instructor Details
- 4.1 Rating
89 Reviews
Prof. M. Nagabhushana Rao
Teaching is my passion , former Professor of Computer Science & Engineering , K L University, India, Having 32 years experience in Teaching, He is also Author of two books on Cloud Computing, Open Source Software which were published with Prentice hall. Prefers online teaching & video lectures.
Teaching is his passion. He Likes good students who are passionate to learn. This course surely help students to enter in to data analytic world thru R programming Language.
More Data Science courses
Master statistics & machine learning: intuition, math, code (2026)
4.9 (3,077 Reviews)
Provider: Udemy
Time: 38.3h
$124.99
Reviews
By Dr. Ravi kumar M, Cambridge Institute o on 6/20/2024
All sessions were interesting and helpful in learning
By Akriti Roy on 3/7/2023
Stats explanation needs an improvement
By Thomas Donahue on 7/13/2020
The course is a good match but the voice level is inconsistent.
By Revanth Gudavarthi on 9/2/2019
They could have shared sample packages to work on
By PASUPULETI SATYA VANI SRI on 2/5/2019
Yes .it's really a useful course.Today's society is concentrating more on statistical Analysis.This course gives me additional knowledge.
By Nishant Khawale on 1/16/2019
can take a example and tell about the details of the data and then explain the code
By Manjula Josephine on 12/21/2018
It is a very useful and recommended course for all classes of students . Very good one
By Raghunath Subramanian on 8/31/2018
It is a really nice course with good examples provided by the tutor
By Krishna Chaitanya on 7/31/2018
Excellent platform for all the aspiring beginners of of R programming language.
By Lakshmipriya on 4/10/2018
An extremely helpful and informative course. Course of content is well oraganised.I have been to other courses where the instructor clearly appeared rushed. But here Instructors was extremely professional and pleasant to learn from them.The code very understandable. I was very impressed with teaching methods and presentations. Thank you.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 82 / 100






