BUSINESS DATA INTELLIGENCE (4 Credits)

Learning Outcomes :

On successful completion of this course, student will be able to: LO1 – Define Define business intelligence, platform usage, and data in the company; LO2 – Explain Explain the functions and utilities of business intelligence tools; LO3 – explain Explain interdepartmental data analytics processes to support business performance; LO4 – Design Design phases of technology-based business models through data dissemination and company conditions; LO5 – analyze Present information from data analysis and build a number of future scenarios.

Topics :

1. An Overview of Business Intelligence, Analytics, and Data Science;
2. Artificial Intelligence in Business;
3. Artificial Intelligence – Risk, Opportunities, and Human Collaboration;
4. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization;
5. Descriptive Analytics II: Business Intelligence and Data Warehousing;
6. Predictive Analytics I: Data Mining Process, Methods, and Algorithms;
7. Predictive Analytics II: Text, Web, and Social Media Analytics;
8. Prescriptive Analytics: Optimization and Simulation;
9. Technology Analytics;
10. Big Data Concepts and Tools;
11. Know Your Customer: Business Analysis Market and Qualitative Analysis;
12. Digital Thinking Innovation -Analytical Hierarchical Processing (AHP);
13. Future Trends, Privacy, and Managerial Considerations in Analytics.