categories: Saudi Courses | Technology, Science & Productivity
Level: General
Course Language: Arabic
Understand what the R programming language is, its fundamentals, and why it is important for data analysis and statistical programming.
Learn how to properly install and use R and RStudio, including file management, updates, and selecting software versions.
Get familiar with the different data types in R and how to apply them in both theoretical and practical scenarios.
Understand various data structures in R, such as vectors and lists, with practical applications and interactive exercises.
Use operators and loops to write code and analyze data using R, while also being able to solve practical exercises.
Learn to manage variables in R, including creating and deleting variables, and understanding case sensitivity, with practical applications and exercises.
Free lessons
How the Course is structured
Installing R and Rstudio
What is R and Why Learn R
Why to Learn R
R studio Overview
1. Welcome to the course
How the Course is structured
2. Getting Ready to Learn R
Installing R and Rstudio
What is R and Why Learn R
Why to Learn R
R studio Overview
Checking and Setting Directory
Update R and R studio
Changing R version
Intro to Rstudio Cloud
Rstudio Cloud Overview
Directory vs Projects - Part1
Directory vs Projects - Part2
Type of files in R
Packages in R
3. Basics of programming
Variables
Data Types in R (Theory)
Data Types in R (Practice)
DataTypes -Variables (Exercise)
DataTypes -Variables (Solution)
Operators in R (Theory)
Operators in R (Practice)
Operators in R (Exercise)
Operators in R (Solution)
Loops in R (Theory)
Loops in R (Practice)
Loops in R (Exercise)
Loops in R (Solution)
IF Statement (Theory)
IF Statement (Practice)
IF Statement (Exercise)
IF Statement (Solution)
Case Sensitive
Checking Variables
Data types vs Data Structures
Deleting a Variable
Deleting a Variable (Exercise)
Deleting a Variable (Solution)
4. Basics of R programming
Data Structures in R
Vectors in R (Theory)
Vectors in R (Practice)
Vectors in R (Exercise)
Vectors in R (Solution)
Lists in R(Theory)
Lists in R(Practice)
Lists in R (Exercise)
Lists in R (Solution)
Whether you are a beginner in programming seeking to acquire the knowledge and skills needed to work in the field of data, or a specialist looking to refine your skills, this course offers you the perfect gateway to enter the vast and exciting world of data. R is one of the most popular tools among data scientists and analysts, known for its flexibility and power in handling large datasets, performing complex statistical operations, and creating advanced visualizations that enhance your ability to deliver stunning analytical results. It is used by researchers in fields such as economics, biology, marketing, and even artificial intelligence development. In this course, you will not only learn how to install and use R and RStudio, but you will also be introduced to essential programming concepts, such as data types, variables, loops, and data structures. You will learn how to work with vectors and lists, which are crucial for organizing and processing data in R. Additionally, you will solve interactive exercises and gain practical skills that will help you understand how to turn data into actionable insights. Don't worry if you are new to programming! The course begins with a comprehensive introduction that walks you through the basics step by step. You will also learn to use RStudio, an integrated development environment that will help you write and analyze code effectively. By the end of the course, you will be confident in handling data, writing basic code, and performing statistical analyses. If you're looking to take your data analysis skills to the next level, this course is the perfect place to start!
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.
Data Science & MIS Mentor
862 Learners
6 Courses