| Unit 1 [Book] | |
| Introduction, Concept, Evolution of Business Analytics | VIEW |
| Business Analytics Process | VIEW |
| Data Analysis | VIEW |
| Data Scientists vs. Data Engineer Vs. Business Data Analyst | VIEW |
| Roles and Responsibilities of Data Scientists | VIEW |
| Business Analytics in Practice | VIEW |
| Career in Business Analytics | VIEW |
| Introduction to R | VIEW |
| Unit 2 [Book] | |
| Concept of Data Warehousing | VIEW |
| ETL | VIEW |
| Star Schema | VIEW |
| Introduction to Data Mining | VIEW |
| Origins of Data Mining | VIEW |
| Application and Trends in Data Mining Tasks | VIEW |
| Data Mining for Retail industry | VIEW |
| Data Mining for Health industry | VIEW |
| Data Mining for Insurance Sector, Telecommunication Sector | VIEW |
| Unit 3 [Book] | |
| Data Visualization | VIEW |
| Visualization Techniques: Tables, Cross Tabulations, Tableau | VIEW |
| Data Modelling Concept, Role, Types, Techniques, Process, Challenges | VIEW |
| Unit 4 Types of Analytics [Book] | ||
| Descriptive: Central Tendency, Mean, Median, Mode | VIEW | |
| Standard Deviation | VIEW | |
| Variance | VIEW | VIEW |
| Predictive Analysis: | VIEW | |
| Linear Regression | VIEW | |
| Multivariate Regression | VIEW | |
| Prescriptive Analysis: Graph Analysis | VIEW | |
| Simulation | VIEW | |
| Optimization | VIEW | |