Data Science With R Programming SYLLABUS

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?

Bigdata Hadoop and R

Working With R & RStudio

R & RStudio Installation

Data Types

Scalar

Vectors

Matrix

List

Data frames

Factors

Handling date in R

Conversion of data types

Operators in R

Importing Data

JSON files

CSV files

Database data (Oracle 11g)

XML files

Reading & Writing PDF files

Reading & Writing JPEG files

Saving Data in R

Manipulating Data

Sorting

Cbind, Rbind

Aggregating

Dplyr

Conditional Statements

For loop

If …else

While loop

Repeat loop

Functions

tApply ()

Apply ()

sApply ()

rApply ()

Statistical Concepts

Descriptive Statistics

Inferential Statistics

Central Tendency (Mean,Mode,Median)

Hypothesis Testing

Probability

tTest

zTest

Chi Square test

tTest

Correlation

Covariance

Anova

Predictive Modelling

Linear Regression

Normal Distribution

Density

Data Visualization In R Using GGPlot

Box Plot

Histograms

Scatter Plotter

Line chart

Bar Chart

Heat maps

Data Visualization 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)

Data Science With R

Algorithms

Classifications

Clustering

Supervised learning

Unsupervised learning

Bayesian

Boosting

K-means

Nearest Neighbours (KNN)

Page Rank

Support Vector Machines

Random forest