BUSINESS ANALYTICS (4/2 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: explain the motivations, concepts, methods, and methodologies for different types of analytics; Identify the fundamental tools and methods of data analysis and statistics for descriptive analytics; Practice several approaches for predictive analytics including: trendlines and regression analysis, forecasting, introductory data mining techniques, building and analyzing models on spreadsheets, and simulati; Practice several approaches for prescriptive analytics including: linear, integer, and nonlinear optimization models and applications.

Topics:

1. Introduction to Business Analytics;
2. Database Analytics;
3. Descriptive Statistics;
4. Probability Distributions and Data Modeling;
5. Statistical Inference;
6. Trendlines and Regression Analysis;
7. Forecasting Techniques;
8. Spreadsheet Modeling and Analysis;
9. Simulation and Risk Analysis;
10. Linear Optimization;
11. Integer and Nonlinear Optimization;
12. Optimization Analytics;
13. Decision Analysis;
14. Connect, Customize, Organize Data and Create Filters;
15. Build Common Views 1;
16. Build Common Views 2;
17. Calculated Fields and Table Calculations 1;
18. Apply Analytics 1;
19. Work with Multiple Data Sources;
20. Create, Share, and Publish Dashboards and Stories;
21. Tableau Fundamentals Review and Data Restructuring with Filters;
22. Managing Data Sources;
23. Calculated Fields and Table Calculations 2;
24. Create Level of Detail (LOD) Expressions;
25. Apply Analytics 2;
26. Map Geographic Data and Customizing Tableau’s Geocoding.