Data Science with R Training

CHAPTER 1: Introduction

What is R?

Why R?

Installing R

R environment

How to get help in R

R console and Editor

Packages in R

CRAN

How to check package by date

Variables

Data Types

Data structure

Factors

Converting variable types

Missing values

CHAPTER 2: Importing and Exporting in R

Loading data from file(Text,Csv,Excel)

Loading data from clipboard

Connecting MySQL in R

How to remove lines while importing

Saving R data format

Exporting in R(Excel,Text)

CHAPTER 3: Data cleaning process

Concentrating strings

Find and replace

How to split string

Position based spliting

Semi matching condition

Condition based row/column selection

Renaming column names

Trim

CHAPTER 4: Data manipulation

Data sorting

Find and remove duplicates record

Recoding data

Merging data

Data aggregation

User defined functions

Local and global variables

Date and Time format in R

Table function

CHAPTER 5:Loops

For

If else

While

Break

Next

Return

CHAPTER 6: Visualization in R

Bar, stacked bar chart

Pie chart

Line chart

Scatter plot

Histogram

Column chart

Doughnut chart

Trending visualization charts in R

CHAPTER 7: Advanced concept

Social media analysis(Twitter)through API

Web apps in R

CHAPTER 8:Statistics and machine learning

Standard deviation

Outlier

Linear regression

Multiple regression

Logistic regressions

Chi square

Anova

Clustering

Correlation

Decision tree

K-NN Algorithm