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Codynn

A Product of VOID NEPAL © Codynn 2026

R Programming

This course covers the basics of R, a popular language for data analysis and statistics You’ll start with understanding R’s syntax, including variables, data types, and basic operators . The course introduces essential data structures like vectors, lists, data frames, and matrices. You’ll also learn how to write simple functions and perform basic operations on data. By the end, you’ll be comfortable with the fundamentals of R, setting a solid foundation for more advanced data analysis and statistical work.

Get Started!
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Course Details

Language

R

Duration

1 Week

Difficulty:

easy

Category

Programming

Certificate

Yes

Skills You'll Gain

  • Basics of R

Requirements

  • Will to kick-start Programming in R
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

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

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

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!)

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

06

Machine Learning in R

5 Chapters - 0/5 Completed

Introduction to Machine Learning in R

Regression Models in R

Classification Models in R

Clustering in R (Unsupervised Learning)

Evaluating Model Performance

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Siddhi Kusmude
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[email protected]
Aarif Khan
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verry cool
Hibrahim Kologo

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