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categories: Technology & Innovation | Courses in English

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R Programming for Complete Beginners

By
Fahad Masood Reda
Free lessons
Duration: 4 h 19 m / 48 lessons

Level: General

Course Language: English

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

1.

How the Course is structured

5 Minutes
2.

Installing R and Rstudio

4 Minutes
3.

What is R and Why Learn R

6 Minutes
4.

Rstudio Overview

11 Minutes
5.

Checking and Setting Directory

5 Minutes
1.

How the Course is structured

5 Minutes
1.

Installing R and Rstudio

4 Minutes
2.

What is R and Why Learn R

6 Minutes
3.

Rstudio Overview

11 Minutes
4.

Checking and Setting Directory

5 Minutes
5.

Update R and Rstudio

4 Minutes
6.

Changing R version

4 Minutes
7.

Rstudio Cloud Overview

16 Minutes
8.

Directory vs Projects - Part1

12 Minutes
9.

Directory vs Projects - Part2

3 Minutes
10.

Type of files in R

5 Minutes
11.

Packages in R

11 Minutes
1.

Variables

12 Minutes
2.

Data Types in R (Theory)

14 Minutes
3.

Data Types in R (Practice)

5 Minutes
4.

DataTypes -Variables (Exercise)

5.

DataTypes -Variables (Solution)

2 Minutes
6.

Operators in R (Theory)

3 Minutes
7.

Operators in R (Practice)

10 Minutes
8.

Operators in R (Exercise)

9.

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
1.

Data Structures in R

2 Minutes
2.

Vectors in R (Theory)

1 Minutes
3.

Vectors in R (Practice)

6 Minutes
4.

Vectors in R (Exercise)

1 Minutes
5.

Vectors in R (Solution)

7 Minutes
6.

Lists in R(Theory)

2 Minutes
7.

Lists in R(Practice)

10 Minutes
8.

Lists in R (Exercise)

9.

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.

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