BUSINESS ANALYTICS (2/2 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, simulation a; practice several approaches for prescriptive analytics including: linear, integer, 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. Database Analytics;
15. Probability Distributions and Data Modeling;
16. Trendlines and Regression Analysis;
17. Spreadsheet Modeling and Analysis;
18. Linear Optimization;
19. Decision Analysis;
20. Explore the Spotfire Interface and Data Filters;
21. Loading Data;
22. Using Bar Charts;
23. Scatter Plots;
24. Trellising and Binning;
25. Using Line Charts;
26. Relative Comparisons;
27. Using Tables;
28. Tool Tips and Marking;
29. Merging Multiple Data Tables;
30. Relationships and Aggregation.