| Unit 1 Introduction to Business Analytics [Book] | ||
| Business Analytics concept and Scope | VIEW | VIEW |
| Importance of Data in business | VIEW | |
| Decisions Models Concept and Types | VIEW | |
| Analyst role in the Business Analytics Model | VIEW | |
| Unit 2 Exploring Data and Data Visualization [Book] | ||
| Exploring Data | VIEW | VIEW |
| Data Visualization | VIEW | |
| Exploring data using pivot table, Pivot charts, Look-up functions | VIEW | |
| VIEW | VIEW | |
| Data validation and whatif analysis functions in spreadsheets for Data Visualization | VIEW | |
| Google Dashboards | VIEW | |
| Power BI | VIEW | |
| Unit 3 Data Preparation [Book] | ||
| Treatment of missing Values | VIEW | VIEW |
| Identification and Management of Outliners | VIEW | VIEW |
| Identification and Management of erroneous data | VIEW | VIEW |
| Data Warehousing, Need | VIEW | |
| ETL processes | VIEW | |
| Data Quality: | VIEW | |
| Cause and effect of Poor Data Quality | VIEW | |
| Alternatives way of storing Data | VIEW | |
| Master data Management | VIEW | |
| Unit 4 Predictive Modeling and Analysis [Book] | ||
| Predictive Modeling and Analysis, Strategies for building predictive models | VIEW | |
| Logic driven Modeling | VIEW | |
| Data-driven modeling | VIEW | |
| Supervised learning | VIEW | VIEW |
| Regression-Simple regression | VIEW | VIEW |
| Multiple and logistic regression | VIEW | |
| Data Reduction techniques: | VIEW | |
| Principal component Analysis | VIEW | |
| Clustering Analysis | VIEW | |
| K-Nearest Neighbors | VIEW | |