R Programming
R Programming is a versatile language focused on statistical analysis, data visualization, and data manipulation It offers powerful tools and libraries to handle complex datasets and perform advanced analytics efficiently.
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Course Details
Language: R
Duration: Approximately 2–3 weeks (with regular practice).
Difficulty: medium
Category: Programming
Certificate: Yes
Skills You'll Gain
- Basics of R
Requirements
Will to kick-start Programming in R
Content
01Introduction to R & Setting Up the Environment
3 Chapters - 0/3 Completed
01
Introduction to R & Setting Up the Environment
3 Chapters - 0/3 Completed
What is R? Why is it Popular?
Setting Up R & RStudio
Writing Your First R Program
02Basic Syntax & Data Types in R
3 Chapters - 0/3 Completed
02
Basic Syntax & Data Types in R
3 Chapters - 0/3 Completed
Understanding Variables & Assignments in R
Understanding Data Types in R
Mathematical & Logical Operations in R
03Vectors, Matrices, Lists & Data Frames
4 Chapters - 0/4 Completed
03
Vectors, Matrices, Lists & Data Frames
4 Chapters - 0/4 Completed
Understanding Vectors in R
Matrices in R
Lists in R
Data Frames in R
04Conditional Statements & Loops in R
3 Chapters - 0/3 Completed
04
Conditional Statements & Loops in R
3 Chapters - 0/3 Completed
Conditional Statements (if, else, else if) in R
Loops in R (for, while, repeat)
Vectorized Alternatives (Faster than Loops!)
05Functions & Apply Family
3 Chapters - 0/3 Completed
05
Functions & Apply Family
3 Chapters - 0/3 Completed
Understanding Functions in R
Apply Functions in R (apply(), lapply(), sapply(), tapply())
Writing Efficient Code with Functions & Apply
06Machine Learning in R
5 Chapters - 0/5 Completed
06
Machine Learning in R
5 Chapters - 0/5 Completed