R Programming Language

Master Building Statistical Apps and Data Science

5.0(66)3h 57m17 lectures1 sections

What you'll learn

Understand the basics of R programming
Master working with variables
Design graphical plots
Analyze data from various files
Use arrays and lists
Build advanced statistical applications

About this course

R is an open-source programming environment for computational statistics that allows for building statistical applications. In this course, you will learn how to program in R and effectively use it for data analysis. You will also learn how to install the necessary software for the statistical programming environment, configure it, and how to describe, process data, and solve practical problems in statistical computing.

Expected outcomes

Master the fundamentals of programming with R.
Analyze data using R tools.
Create visual reports using charts.
Import and process data from multiple sources.

Course content

R Programming Language

17 lectures

Introduction to R Language1:51
What is R Language20:05
Installing R and RStudio13:44
Familiarizing with the Official Interface of the Program14:45
Variables in R Language12:01
Vectors and Matrices and Their Uses21:36
Creating Lists Using R Language (Part One)16:24
Creating Lists Using R Language (Part Two)11:01
Creating Factors Using R14:27
Understanding IF and Else17:32
Functions in R Language15:31
Importing Data from a CSV File22:35
Translating Data from a CSV Format File10:57
Importing and Organizing an XLSX Format File11:51
Importing a File in XML Format9:16
Pie Charts in R Language12:27
Graph Configuration and Course Summary10:58

Instructor

Eng. Kanaan Al-Hallaj

Instructor at the International Robotics Club, specializing in the development and programming of customer relationship management applications, has worked on various projects integrating robotics and artificial intelligence.

3,424 students14 courses

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