R Programming from Scratch - Step by Step
4.2 (55 ratings)
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R Programming from Scratch - Step by Step

Learn R and become Data Scientist (Best Selling Course)
Bestselling
4.2 (55 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
1,998 students enrolled
Last updated 8/2017
English
Curiosity Sale
Current price: $10 Original price: $195 Discount: 95% off
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Includes:
  • 5.5 hours on-demand video
  • 1 Article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Will get complete knowledge of R Language
  • learn essential tool for various types of analysis to get key insights from data and to make key decisions
  • learn to play with data and to extract key information using various R functions and constructs.
View Curriculum
Requirements
  • No previous technical knowledge required
  • Access to the Internet & a Machine(PC/Laptop) to solve exercises
  • An open mind and a willingness to learn something new and interesting
Description

R (R Programming) is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

In this course, you will learn:

  • R Introduction
  • R Variables and Operators
  • Data Structure
  • Functions
  • Flow Control
  • R Packages
  • Import Data
  • Exploring Data With R

Softwares used in Course

  • R Studio


On course completion, You will be Mastered in R Language and can implement Successfully it in your work place or will surely land on High Paying Job

Who is the target audience?
  • Recent College Grad
  • Job Seekers
  • Startup folks
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Curriculum For This Course
92 Lectures
05:30:43
+
Introduction
3 Lectures 13:33
+
R Installation
5 Lectures 19:39


Install R on MAC
00:33

A Simple Program in R
06:40

R Editors
04:51
+
R Studio Installation & Overview
3 Lectures 11:57
R Studio Installation on WIndows
01:54

R Studio Installation on Linux
02:13

R Studio Overview
07:50
+
Variables and Operators
11 Lectures 46:45

Variables and Naming Convention
04:25

Assign Variables
02:59

Environment
06:55

Operators
01:02

Arithmetic Operators
06:56

Special Numbers
06:08

Logical Operators
03:27

Vectorized Operations
02:23

Types of Vectorized Operations
09:18

Summary
02:13
+
Data Structure - Atomic Vector, Factors, List
8 Lectures 45:09

Data Structure in R
03:30

Atomic Vectors
11:15

Common Operations on Atomic Vectors
09:05

Factors
06:45

List
06:07

Common Operations of List
05:37

Summary
02:03
+
Data Structure - Data Frame, Matrix, Array
7 Lectures 35:21

Data Frame
06:49

Common Operations on Data Frame
08:40

Matrix
06:38

Operation on Matrices
05:41

Array
04:53

Summary
02:13
+
Function
12 Lectures 34:37

Function Overview
06:57

Function Components
01:17

Function Naming Guidelines
01:21

Argument Matching
02:05

Argument with default values
02:59

Additional Arguments using Ellipsis
04:31

Lazy Evaluation
03:35

Multiple Return Values
02:29

Function as Objects
03:45

Anonymous Function
02:35

Summary
02:08
+
R - Controls
15 Lectures 48:13
Introduction
01:00

IF Statement
04:49

If - Else Statement
02:33

Multiple If - Else Statement
04:06

Switch
05:38

Vectorized If
04:56

Repeat
01:56

Repeat with Break
02:09

Repeat with Next
02:25

While Loop
02:47

For Loop
02:26

Apply
01:50

Demo - Apply
07:41

Functions in Apply
00:45

Summary
03:12
+
R - Packages
7 Lectures 25:50
Introduction
00:27

About R Packages
04:10

Load R Packages
01:21

Demo
05:36

Install R Package
08:43

Manage R Package
03:46

Summary
01:47
+
Import Data
10 Lectures 34:25
Outline
00:55

Working Directory
03:35

Import CSV Files
04:36

Import Table
05:36

Import from URL
03:31

Import XML Files
02:54

Import Excel Files
04:43

Import other File Types
01:46

Import from Database
05:09

Summary
01:40
1 More Section
About the Instructor
Easy & Fast Learning
4.2 Average rating
105 Reviews
4,508 Students
2 Courses
Trainer, Oracle Architect (OCP)

Trainer, has a Masters Degree in computer science from a top-notch college with around 10 years of experience in the IT industry. He has successfully designed and implemented projects for clients in USA, Uk and Singapore. Currently he is working in a Fortune 500 Company as an Architect.

Here, he is to train and groom students through efficacious pedagogy and modern teaching tools, to get employed with great skills required to work anywhere in the world.