Data – Information – Intelligence – Knowledge Approach, Types of Analytics, Types of Digital
Data, Source of Data, Importance of Data Quality, Looking Data from many perspective,
evolution of Business Analytics and Role of DSS, EIS and Digital Dashboards,
Business Analytics Tools and Software, Role of Business Analyst in Business & Society, Business
Analytics Process, Business Analytics Architecture & Framework.
Introduction to OLTP and OLAP, Data Mart, Data Lake, Data Warehouse Architecture & Data Warehouse
Design, Extract Transform Load (ETL), Data Mining Concepts, Architectural aspects of Data Mining,
Data Mining Techniques - Linear Regression, Logistic Regression, Cluster Analysis,
Classification, Association, Decision Tree, Data Mining Issues & Challenges, Big Data, Data
Mining & Big Data application in Business.
Analytics in Business Support Functions, Analytics in Industries – Telecom, Retail, Healthcare,
Governance, Supply Chain, Marketing, Finance,
Retail & Human Resource, Sports Analytics, Social Media Analytics, Social Networking Analytics,
Recommendation Systems.
Data Visualization, Data importing (live vs. extract), Connecting to Real Time Database, Continuous
and discrete data,
Different kinds of plots and their usage (bar chart, line chart, scatter, histogram, dual axis), Heat
Map, Filters, Parameters, Functions and calculated field, Row and aggregate calculations, Table
calculations
Dashboard and interactive plots, Cross Database Joins & Data Blending, Data interpretation,
finding hidden meanings,
Effective ways of presentation, Capstone and analytics of real world data Introduction to R,
Features of R, R – Packages, R-Data Types, R – Variables, R – Operators, R- Decision Making,
R – Graphs, R – Function, R – Looping, Correlation, Regression
Case Studies on Credit Risk Analytics – Time Series Analysis, Cross – Sell or Up –Sell &
Customer Life Time Value Analytics in Marketing, Prediction of Job Attrition in HR and Talent
Analytics