Candidates from various quantitative backgrounds, like Engineering, Finance, Math, Statistics,
Economics, Business Management and have some knowledge on the data analysis, understanding on
business problems etc.
Prerequisite Skills:
Basic SQL Queries
Data Science Using Python
Module1: Introduction
What Data Science?
Common Terms in Analytics
Analytics vs. Data warehousing, OLAP, MIS Reporting
Relevance in industry and need of the hour
Types of problems and business objectives in various industries
How leading companies are harnessing the power of analytics?
Critical success drivers
Overview of analytics tools & their popularity
Analytics Methodology & problem solving framework
List of steps in Analytics projects
Identify the most appropriate solution design for the given problem statement
Project plan for Analytics project & key milestones based on effort estimates