Introduction to Data Analytics


Mr. Raj Trivedi


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Course Name : Introduction to Data Analytics

Code(Credit) : ABC01(1-1-0)

Course Objectives

  • Understand the analytical problems in real-world scenarios
  • Define effective objectives for analytics projects
  • Understand different types of data
  • Understand the importance of data visualization to help make more effective business decisions

Learning Outcomes

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Course Syllabus

Module 1: Data Analytics Overview
Introduction to Data Analytics, Latest Trends in Data Analytics, Dealing with different types of data, Use of Data Analytics in various Sectors.

Module 2: Implications of Data Analytics
Social Media & Entertainment, E-Commerce Industry, Education Industry , Healthcare Industry, Disaster Management

Session Plan

Session 1

Introduction to Data Analytics

Career in Data Analytics

Session 2

Latest Trends in Data Analytics 2020

Data Analytics in Real Life

Session 6

Student Presentations on "Applications of Data Analytics"

Session 7

Research project on how Amazon India uses Data Analytics to automate the process of product recommendations for their customers.

Student Presentations

Session 8

Research project on how Flipkart decides the pricing for various upcoming clothes during their BBDS (Big Billion Day Sale). Compare strategies for the last five years.

Student Presentations

Case Studies

Case Study 1

Demand Positioning & Segmentation by Uber India.

Case Study 2

Increasing Customer Engagement by E-Commerce.

Case Study 3

CropIn Technology Solutions improving Farmer's lives by using Data Analytics

Case Study 4

Flipkart using Data Analytics for product recommendation

Case Study 5

Government driving Economy using Data Analytics

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