Data Science Using R

Introduction to Data Science

Introduction

Demand

Core Components

Life Cycle

Big Data and Data Analytics

Data Science in the Real World

Tools and Technology

R Programming Basics

Introduction

RStudio

CRAN Repository

R and Other Products

Installation

R Packages

R Mathematical Functions

Operators

Data Types

Statements

Functions

Data Structures

Data Visualization

Exploratory Data Analysis

Case Studies - Time Series Analysis, Sentiment Analysis.

Test 1

Statistics

Basics of Statistics

Descriptive Statistics

Inferential Statistics

Qualitative vs. Quantitative Analysis

Hypothesis Testing

Machine Learning Using R

Introduction

Types

Supervised Learning

Unsupervised Learning

Predictive Analytics

Linear Regression

Logistic Regression

Decision Trees

Random Forest

SVM

KNN

clustering

Bagging and Boosting

Case Study: Titanic Survival

Test 2

Project 1

Human Activity Recognition

Project 2

Market Basket Analysis

Resume Preparation Guide

Mock Interviews