R Programming Made Simple: From Beginner To Data Analysis

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R Programming Made Simple: From Beginner To Data Analysis
Published 2/2026
Created by Tolulope Awoyomi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 13 Lectures ( 6h 17m ) | Size: 5.67 GB[/center]
Learn R using RStudio with practical examples covering data types, control flow, functions, joins, and data analysis
What you'll learn
✓ Install R and RStudio and confidently navigate the RStudio environment for writing and running R programs
✓ Understand core R programming concepts including variables, data types, operators, control flow, and functions.
✓ Work with R data structures such as vectors, lists, matrices, and data frames for real data tasks.
✓ Perform practical data analysis in R, including joins and basic data manipulation using real examples.
Requirements
● No prior programming experience is required. A computer with internet access is needed. R and RStudio will be installed during the course.
Description
R is one of the most widely used programming languages for data analysis, statistics, and research. This course is designed to help beginners learn R programming step by step using RStudio, with a strong focus on clarity and practical understanding.
R Programming Made Simple: From Beginner to Data Analysis starts from the very basics and gradually builds your confidence in writing and understanding R code. You will begin by installing R and RStudio and learning how to navigate the RStudio environment. From there, you will explore core programming concepts such as variables, data types, arithmetic and comparison operators, and control flow.
As the course progresses, you will learn how to work with important R data structures including vectors, lists, matrices, and data frames. You will also learn how to write your own functions and understand common errors in R, helping you debug your code more effectively.
The course concludes with practical data analysis topics, including working with joins and performing basic data analysis tasks using real examples. All lessons are explained clearly and demonstrated directly in RStudio, making the course suitable even if you have no prior programming experience.
This course is ideal for students, beginners in data analysis, researchers, and professionals who want a clear and structured introduction to R programming without heavy mathematics or complex theory.
Who this course is for
■ This course is for beginners who want to learn R programming from scratch using RStudio. It is ideal for students, data analysis beginners, researchers, and professionals who want a clear and practical introduction to R without heavy mathematics or statistics.

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