R Programming for Complete Beginners

categories: Saudi Courses | Technology, Science & Productivity

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By the end of this course, you will be able to

Define the fundamental concepts of R programming in detail. Then, you will learn to identify how to download, install, and use RStudio from the beginning.
Identify different variables and how to create them in R and create different types of loops in R. Then, you will learn how to update R and RStudio step-by-step.
Identify what packages are and how to install them, how to create vectors and lists in R, and recognize the difference between directory and projects and how to use them.

Course details

4 h 19 m/48 lessons
Last updated: 29/5/2023
Course completion certificate

Course Content

Free lessons

How the Course is structured

5 Minutes

Installing R and Rstudio

4 Minutes

What is R and Why Learn R

6 Minutes

Rstudio Overview

11 Minutes

Checking and Setting Directory

5 Minutes

1. Welcome to the course

How the Course is structured

5 Minutes

2. Getting Ready to Learn R

Installing R and Rstudio

4 Minutes

What is R and Why Learn R

6 Minutes

Rstudio Overview

11 Minutes

Checking and Setting Directory

5 Minutes

Update R and Rstudio

4 Minutes

Changing R version

4 Minutes

Rstudio Cloud Overview

16 Minutes

Directory vs Projects - Part1

12 Minutes

Directory vs Projects - Part2

3 Minutes

10.

Type of files in R

5 Minutes

11.

Packages in R

11 Minutes

3. Basics of Programming

Variables

12 Minutes

Data Types in R (Theory)

14 Minutes

Data Types in R (Practice)

5 Minutes

DataTypes -Variables (Exercise)

DataTypes -Variables (Solution)

2 Minutes

Operators in R (Theory)

3 Minutes

Operators in R (Practice)

10 Minutes

Operators in R (Exercise)

Operators in R (Solution)

2 Minutes

10.

Loops in R (Theory)

14 Minutes

11.

Loops in R (Practice)

8 Minutes

12.

Loops in R (Exercise)

13.

Loops in R (Solution)

6 Minutes

14.

IF Statement (Theory)

3 Minutes

15.

IF Statement (Practice)

3 Minutes

16.

IF Statement (Exercise)

17.

IF Statement (Solution)

4 Minutes

18.

Case Sensitive

3 Minutes

19.

Checking Variables

2 Minutes

20.

Data types vs Data Structures

4 Minutes

21.

Deleting a Variable

4 Minutes

22.

Deleting a Variable (Exercise)

1 Minutes

23.

Deleting a Variable (Solution)

2 Minutes

24.

Miscellaneous Operators (Theory)

3 Minutes

25.

Miscellaneous Operators (Practice)

7 Minutes

26.

Miscellaneous Operators (Exercise)

1 Minutes

27.

Miscellaneous Operators (Solution)

4 Minutes

4. Basics of R programming

Data Structures in R

2 Minutes

Vectors in R (Theory)

1 Minutes

Vectors in R (Practice)

6 Minutes

Vectors in R (Exercise)

1 Minutes

Vectors in R (Solution)

7 Minutes

Lists in R(Theory)

2 Minutes

Lists in R(Practice)

10 Minutes

Lists in R (Exercise)

Lists in R (Solution)

3 Minutes

About this course

Are you planning to get into the field of Data Science or Data Analytics or to do your master’s or Ph.D. and want to learn R or are you trying to learn R and facing difficulties understanding it? Then, this course is for you. If you are a researcher and want to learn R or a complete beginner in the field of programming, you will be acquainted with all knowledge needed as after every concept you learn, you can apply what you learned.

Course requirements and prerequisites

There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.