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R Programming for Complete Beginners (Part 1)

Name: R Programming for Complete Beginners (Part 1)
Rating: 4.7 (54 reviews)

Learn R Programming with R Studio. and Start your Journey in the field of Machine Learning, Data Science, Academia

Created byFahad Masood Reda

Last updated 5/2026

English

What you'll learn

The Fundamentals Concepts of R Programming in Details
How to Download and Install and Use RStudio
Variables and how to create them in R
Create different types of Loops in R
Different types of Data types in R
How to Update R and RStudio
What are Packages and how to install them
How to Create Vectors in R
How to Create Lists in R
The Difference Between Directory and Projects and how to use them

Course content

6 sections • 108 lectures • 7h 20m total length

Course Overview6:45
(MUST WATCH) Udemy Review and Rating Policy1:23
Get to Know your Instructor1:14
Kindly Rate the Course1:10
Udemy Player Overview3:47
How the Course is Structured5:40
What Makes this Course Special (Why You Should Enroll to this Course)3:55

Codes used in this course0:11
Downloading and Installing R1:42
Downloading and Installing RStudio2:09
Installing R and RStudio-Older version4:36
In this video you are going to learn how to install R and RStudio
What is R language?6:16
In this video you are going to learn the advantages of learning R
RStudio-Overview11:56
In this video, you are going to learn a general overview of RStudio
Checking and Setting the Directory5:31
Updating R and RStudio4:38
Changing R version4:30
Introduction to RStudio Cloud5:22
In this video, you are going to learn what is Rstudio Cloud and why and when you should use it!
RStudio Cloud Overview16:43
Directory vs Projects - Part112:00
Directory vs Projects - Part23:42
Type of files in R5:03
Packages in R11:06
Packages in R (Quiz)
Running R Codes in Jupyter Notebook5:04
Jupyter Notebook Crash Course0:11

Topics covered in this section0:32
Variables in R12:28
Note before watching the next video0:24
Data Types in R (Theory)6:13
Quiz1: Data Types in R
Data Types in R (Practice)5:48
Variables and Data Types in R (Exercise)0:39
Variables and Data Types in R (Exercise-Solution)2:27
Operators in R (Theory)3:34
Operators in R (Practice)10:09
Operators in R (Exercise)0:45
Operators in R (Exercise)0:05
Operators in R (Exercise -Solution)2:57
Loops in R (Theory)14:20
Loops in R (Practice)8:48
Loops in R (Exercise)0:53
Loops in R (Exercise)0:08
Loops in R (Exercise -Solution)6:24
IF Statement (Theory)3:15
IF Statement (Practice)3:49
IF Statement (Exercise)0:49
IF Statement (Exercise-Solution)4:35
Case Sensitive3:46
Quiz2
Checking Variables2:09
Data Types vs Data Structures4:35
Deleting a Variable4:26
Deleting a Variable (Exercise)1:12
Deleting a Variable (Exercise)0:10
Deleting a Variable (Exercise-Solution)2:24
Miscellaneous Operators (Theory)3:57
Correction in the previous Lecture0:10
Miscellaneous Operators (Practice)7:25
Miscellaneous Operators (Exercise)1:37
Miscellaneous Operators (Exercise -Solution)4:06

Introduction to Basics of R Programming Section0:02
Data Structures in R2:38
Vectors in R (Theory)1:15
Vectors in R (Practice)6:18
Vectors in R (Exercise)1:11
Vectors in R (Solution)7:45
Lists in R (Theory)2:26
Lists in R (Practice)10:30
Lists in R (Exercise)0:51
Lists in R (Solution)2:59
Functions in R (Theory)12:09
Functions in R (Practice)6:54
Functions in R(Exercise)1:03
Functions in R (Solution)4:14
Matrix in R (Theory)6:00
Matrix in R (Practice)4:52
Matrix in R (Exercise)0:57
Matrix in R (Solution)5:12
Arrays in R (Theory)6:25
Arrays in R (Practice)6:26
Arrays in R (Exercise)0:43
Arrays in R (Solution)4:17
Data frames in R (Theory)6:20
Data frames in R (Practice)3:30
Data frames in R (Exercise)1:14
Data frames in R (Solution)2:16
Factors in R (Theory)7:18
Factors in R (Practice)6:56
Factors in R (Exercise)0:17
Factors in R (Solution)2:33

What is Jupyter Notebook2:57
Installing Anaconda6:40
Opening Jupyter Notebook6:57
Edit-Command-Mode2:30
Autocomplete7:14
Menus Overview10:12
What is Markdown0:53
Markdown: Headings3:37
Markdown: Blockquotes2:17
Markdown: Math Symbols2:19
Markdown: Line Break1:05
Markdown: Bold Text1:45
Markdown: Italic Text1:48
Markdown: Horizontal line0:58
Markdown: Ordered list0:58
Markdown: Unordered list1:33
Markdown: Internal Link4:13
Markdown: External Link1:46
Markdown: Adding Image3:25
Markdown: Adding Video1:43

Requirements

No Programming experience needed, you will learn everything you need to know in this course
A Passion or Motive to Learn R, like becoming a Data Scientist or Data Analyst or a Researcher

Description

Are you:

1- Planning to do your Master’s or Ph.D.’s and want to learn R

2- Planning to get into the field of Data Science or Data Analytics

3- Trying to learn R and Facing difficulties in understanding it

4- A Researcher and wants to learn R

5- A Complete Beginner in the field of Programming and want to learn R

Then this course is for you

There are plenty of R Courses on this platform, but how this course is different?!

Let me tell you how the course is structured:

After every concept you learn, you will see me applying it practically on RStudio, and then there will be an exercise for you so you can apply what you learned, and then there will be a small quiz to test your knowledge and then after each section, there will be a small project (with the solution provided) so you can check your code with mine

So, the structure is like this:

1- A theory video (where I will explain the concept in detail)

2- A practical video (where I re-explain what I taught in the previous video again but this time in RStudio)

3- A small quiz to test your knowledge after every concept

4- An Assignment for you to do to test your knowledge

5- At the end of each section there might be a small project that will make sure that you have enough skills to move to the next section in the course

6- All the solutions will be provided so you can check your code with mine

As you can see that his course is a very practical course, hope you enjoy the course, just like I enjoyed creating it!!

Wish you all the best

Fahad Masood Reda

Who this course is for:

This course is for you if you want to learn how to R Language from Scratch
This course is for you if you want to learn R to become a Data Scientist or Data Analyst
This course is for you if you face difficulties in understanding programming concepts as everything is explained in this course in details
This course is for you if you want to learn R and you don't have a tech background, as everything is explained in layman terms
This course is for you if you want to learn By doing exercises and quizzes

R Programming for Complete Beginners (Part 1)

What you'll learn

Explore related topics

Course content

Welcome to the course7 lectures • 24min

Getting Ready to Learn R17 lectures • 1hr 41min

Basics of programming33 lectures • 2hr 5min

Basics of R Programming30 lectures • 2hr 6min

Jupyter Notebook Crash Course20 lectures • 1hr 5min

BONUS SECTION1 lecture • 1min

Requirements

Description

Who this course is for: