Lecture Notes || SNS Courseware

Subject Details

Dept : CST

Sem : 4

Regul : 2019

Faculty : M.Kanchana

phone : NIL

E-mail : snscecet03

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Lecture Notes

UNIT 1:

Introduction

Big Data and Data Science

A Project on Data Analytics

KDD Process

CRISP-DM Methodology

Data Analytics- Types

Data Analytics-Tools and Applications

UNIT 2:

Descriptive Statistics -Scale Types

Descriptive Univariate Analysis

Descriptive Bivariate Analysis

Descriptive Multivariate Analysis

Multivariate Data Visualization

Multivariate Statistics

Infographics and Word Clouds

Data Quality and Preprocessing

UNIT 3:

Random Forest

Decision Tree

Normal and Binomial disributions

Time Series Analysis

Linear and Multiple Regression, Logistic Regression

Survival Analysis

Prescriptive Analytics,Active Learning,Reinforcement Learning

UNIT 4:

Overview of R Programming

Variable and Data Types

Control Structures

Array, Matrix

Vectors, Factors

Functions ,Packages

UNIT 5:

Reading and getting data into R (External Data)

CSV files

R - XML Files

Web Data

JSON files

Writing to Files in R Programming

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