Learn R Programming in 7 Hours - Statistical Programming and Data Analysis

Embark on a comprehensive 7-hour journey into R programming and statistical analysis. Master the fundamentals of R, from installation and environment setup to advanced concepts like data structures, functions, and operations. Explore key programming elements including variables, datatypes, operators, and control structures. Dive deep into R's powerful data manipulation capabilities with vectors, lists, matrices, arrays, and data frames. Gain practical skills in creating and manipulating these structures, performing operations, and utilizing built-in and user-defined functions. Perfect for beginners and intermediate learners looking to enhance their data analysis and statistical programming skills using R.

Syllabus

Channel Intro
How to download & Install Rstudio and R
Understanding Rstudio Environment
Introduction to R Programming
Kewords
Variables
Datatypes
Data Structures
Operators
Input - Output Functions
Conditional Statements
Iterative Statements - FOR Loop
Switch Case with Example
Iterative Statements - While Loop
Break & Next
Iterative Statements - Repeat
Introduction to Functions
User Defined Functions
Arguments in User Defined Functions
Math Function
String Function
Atomic Vectors
Vector Operations
List - Create and Accessing Elements
List Operations
Matrix - Create and Accessing Elements
Matrix Operations
Arrays - Create and Accessing Elements
Array Operations
Data Frame - Create and Accessing Elements
07. Data Frame Operatons