Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 2.26 GB | Duration: 6.5 hours

No Prior Knowledge or Experience Needed !

What you'll learn

Complete understanding of R programming

Data Types, Vectors and Matrices in R

Data Frames and Lists

Working with Files in R

Logical Operators, Statements and Loops

Functions and Core Concepts in R

Advanced R Programming

Apply Function, Regular Expressions

Math functions, Date and stamps

Data Manipulation and Data Cleaning

dplyr Package, Pipe Operator and tidyr Package

Data Visualization with ggplot2

Requirements

Description

This is a Comprehensive Course to Learn R Programming for Data science, Data Analysis, Machine Learning and Data Visualization !

With this course you will learn R Programming from Very Basic to Advanced Level, Here we will cover almost everything that comes under the umbrella of R Programming

Main topics you will learn,

1) R Programming Basics : Arithmetic in R, Variables in R, Data Types in R, Vectors in R, Vector Operations, Comparison Operators, Indexing and Slicing in Vectors

2) Matrices in R : Creating A Matrix, Arithmetic's in Matrix, Operations in Matrix, Indexing and Selection in Matrix, Factor Function

3) Data Frames : Data Frame Basics, Indexing and Selection in Data Frames, Data Frame Operations

4) Lists in R

5) Working with Files : Working with CSV Files and Excel Files

6) Core Programming Concepts in R : Logical Operators, if, else and else if statements, While loop, For loops, Functions in R

7) Advanced R Programming : Built in Features, Apply Function, Regular Expressions, Math functions, Date and stamps

8) Data Manipulation in R : dplyr Package, Pipe Operator, tidyr Package

9) Data Visualization with ggplot2

In short, this course is designed for all skill levels and even if you have no programming or statistical background you will be successful in this course !

Regards,

Vijay Gadhave

Who this course is for:

Anyone who wants to learn R programming

Students or professionals who wants to start learning Data Science, Machine Learning and Data Analysis



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