BUSINESS INTELLIGENCE AND ANALYTICS (4 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: Examine data and information management technology alternatives; Select the most appropriate options based on the organisation information needs; Plan the implementation of the selected options.

Topics:

1. An Overview of Business Intelligence, Analytics, and Data Science;
2. Descriptive Analytics I: Nature of Data, Statistical Modelling, and Visualization;
3. Descriptive Analytics II: Business Intelligence and Data Warehousing;
4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms;
5. Predictive Analytics II: Support Vector Machine (SVM);
6. Predictive Analytics III: Evidence and Probability;
7. Predictive Analytics IV: Artificial Neural Network;
8. Predictive Analytics V: Deep Learning (DL);
9. Predictive Analytics VI: Text, Web and Social Media Analytics;
10. Prescriptive Analytics: Optimization and Simulation;
11. Enrichment Activity: Workshop Topic: – Introduction to Weka Workbench;
12. Enrichment Activity: Workshop Topic: Data mining Project and Tools;
13. Enrichment Activity: GUEST LECTURE Topic: Business Intelligent Implementation in Various Domain;
14. Enrichment Activity: Workshop Topic: Data Mining Project and Tools;
15. Enrichment Activity: Workshop Topic: Data Mining Project and Tools;
16. Enrichment Activity: GUEST LECTURE Topic: Business Intelligence implementation in various domain.