### Course Description

If you're planning to build your career in data science, or aiming to have an average of $100,000/yr salary, this course is for you. We will give you few examples why you should move into data science and test the demanding job market. This tutorial will give you the knowledge you need; it won't only cover "how" to do it, but it will also cover "why" to do it. Theory explained by hands-on examples, 11+ hours long, 100+ study materials, & code templates are ready to download!

#### What am I going to get from this course?

- Learn what is data science and how it is helping the modern world!
- What are the benefits of data science and machine learning
- Solve data science related problems with the help of R programming
- Answer why R is a must have for data science, AI and machine learning!
- Right guidance to the path of becoming a data scientist + interview preparation guide
- How to switch your career to data science?
- R data structure -
**Matrix, Array, Data Frame, Factor, List**
- Work with R’s conditional statements, functions, and loops
- Systematically explore data in R
- Data science package:
**Dplyr, GGPlot 2**
**Index, slice, and Subset Data**
- Get your data in and out of R -
**CSV, Excel, Database, Web, Text Data**
- Data science - data visualization :
**plot different types of data & draw insights like: Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, 3D Plot, Mosaic Plot**
- Data science - data manipulation -
**Apply function, mutate(), filter(), arrange (), summarise(), groupby(), date **in R
- Statistics - a must have for data science
- Data science - hypothesis testing

### Curriculum

#### Module 1: Introduction to Data Science

Lecture 1
Trainer Introduction
Lecture 2
Introduction to Business Analytics

Lecture 3
Application of Business Analytics

Lecture 4
Introduction to Machine Learning

Lecture 5
How to switch your career into ML
Lecture 6
How to switch your career into ML #2

#### Module 2: Introduction to R

Lecture 7
Introduction to R

#### Module 3: R Programming Part #2

Lecture 9
R Programming - R Operator

Lecture 10
R Conditional Statement & Loop

Lecture 11
R Function Part #1

Lecture 12
R Function Part #2

Lecture 14
All Codes of the Section

#### Module 4: R Data Structure

Lecture 15
R Data Structure - Vector

Lecture 16
R Data Structure - Data Frame

Lecture 17
R Data Structure - Matrix, Array

Lecture 18
R Data Structure - Factor

Lecture 19
R Data Structure - List

Lecture 20
All Codes of the Section

#### Module 5: Import and Export in R

Lecture 21
Import CSV Data in R

Lecture 22
Import Text Data in R

Lecture 23
Import Excel, Web Data in R

Lecture 24
Export Data in R - Text

Lecture 25
Export Data in R - CSV & Excel

Lecture 26
All Codes and Resources of the Section

#### Module 6: Data Manipulation

Lecture 27
Data Manipulation - Apply Function
Lecture 28
Data Manipulation - Apply Function Part #2

Lecture 29
Data Manipulation - dplyr Package

Lecture 30
Data Manipulation - mutate

Lecture 31
Data Manipulation - summarise function

Lecture 32
Data Manipulation - Pipe Operator

Lecture 33
Data Manipulation - group by

Lecture 34
Data Manipulation - Date

Lecture 35
All codes of the section

#### Module 7: Data Visualization with R

Lecture 36
Data Visualization - Scatter Plot

Lecture 37
Data Visualization - mfrow

Lecture 38
Data Visualization - pch

Lecture 39
Data Visualization - Color

Lecture 40
Data Visualization - Line Chart

Lecture 41
Data Visualization - Pie Chart

Lecture 42
Data Visualization - Histogram

Lecture 43
Data Visualization - Density Plot

Lecture 44
Data Visualization - Box Plot

Lecture 45
Data Visualization - Mosaic Plot and Heat Map

Lecture 46
Data Visualization - 3D Plot

Lecture 47
Data Visualization - Word Cloud

Lecture 48
Data Visualization - ggplot2 Part 1

Lecture 49
Data Visualization - ggplot2 Part 2

#### Module 8: Introduction to Statistics

Lecture 50
Intro to Stat - Part 1

Lecture 51
Intro to Stat - Part 2

Lecture 52
Intro to Stat - Part 3

Lecture 53
Intro to Stat - Part 4

Lecture 54
Intro to Stat - Part 5

Lecture 55
Intro to Stat - Part 6

Lecture 56
Intro to Stat - Part 7

Lecture 57
Intro to Stat - Part 8

Lecture 58
Intro to Stat - Part 9

Lecture 59
Intro to Stat - Part 10

Lecture 60
Intro to Stat - Part 11

Lecture 61
All Codes of the Module

#### Module 9: Hypothesis Testing - 1

Lecture 62
Hypothesis Testing - Part 1

Lecture 63
Hypothesis Testing - Part 2

Lecture 64
Hypothesis Testing - Part 3

Lecture 65
Hypothesis Testing - Part 4

#### Module 10: Hypothesis Testing in Practice

Lecture 66
Hypothesis Testing in Practice - Part 1

Lecture 67
Hypothesis Testing in Practice - Part 2

Lecture 68
Hypothesis Testing in Practice - Part 3

Lecture 69
Hypothesis Testing in Practice - Part 4

Lecture 70
Hypothesis Testing in Practice - Part 5

Lecture 71
Hypothesis Testing in Practice - Part 6

Lecture 72
Chi Square -Part 1

Lecture 73
Chi Square -Part 2

Lecture 74
ANOVA - Part 3

Lecture 75
All codes of the Section