BIG DATA ANALYTICS IN ACCOUNTING & FINANCE (4 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: explain a collection of computer technologies that support big data analytics; classify big data analytics activities; analyze problems in big analytics; design prototype strategy information system for big data analytics.

Topics:

1. An Overview of Big data Intelligence, Analytics, and Data Science;
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization;
3. Descriptive Analytics II: Big data Intelligence And Data Warehouse;
4. Predictive Analytics I: Data Mining Process, Methods, And Algorithms;
5. Big Data Concepts and Tools;
6. Why is Big Data Useful?;
7. Use cases for (big) data analytics;
8. Forming your strategy for big data and data science;
9. Choosing your technologies;
10. Building your Team;
11. Governance and legal compliance;
12. Launching the ship-successful deployment in the organization;
13. Future Trends, Privacy and Managerial Considerations in Analytics.