Course Agenda

Professionals and Students looking to enter the Data Science industry

Understanding Business Analytics

Other Popular Business Analytics tools Vs R

R and it’s applicaitons

Getting Familiar With R Programming Environment

Introduction

What are Data Analysis, Data Analytics and Data Science?

Business Decisions

Case study of Walmart

Various Analytics Tools

Descriptive

Predictive

Web Analytics

Google Analytics

Fundamentals Of R

R and features

Evolution of R?

Big data Hadoop and R

Working With R & RStudio

R & R Studio Installation

Data Types

Scalar

Vectors

Matrix

List

Data frames

Factors

Handling date in R

Conversion of data types

Operators in R

Importing Data

CSV files

Database data (Oracle 11g)

XML files

JSON files

Reading & Writing PDF files

Reading & Writing JPEG files

Saving Data in R

Manipulating Data

Cbind, Rbind

Sorting

Aggregating

dplyr

Conditional Statements

If …else

For loop

While loop

Repeat loop

Functions

Apply()

sApply()

rApply()

tApply

Statistical Concepts

Descriptive Statistics

Inferential Statistics

Central Tendency (Mean,Mode,Median)

Hypothesis Testing

Probability

tTest

zTest

Chi Square test

Correlation

Covariance

Anova

Predictive Modelling

Linear Regression

Normal distribution

Density

Data Visualisation In R Using GGPlot

Box Plot

Histograms

Scatter Plotter

Line chart

Bar Chart

Heat maps

Data Visulaization Using Plotly

3D-view

Geo Maps

Misc. Functions

Null Handling

Merge

Grep

Scan

Advance Topics In R

Text Mining

Exploratory Data Analysis

Machine Learning with R  (concept)