People Innovation Excellence

MANAGING BUSINESS INFORMATION (2/2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: explain the concept of data and business analytics; apply data processing and analysis techniques using analytics software; analyze insights and predictions produced by descriptive, predictive, and prescriptive analytics; Create analytics solutions to address specific business problems/needs.

Topics:

  1. Introduction to Business Analytics;
  2. Database Analytics;
  3. Data Visualization;
  4. Descriptive Statistics;
  5. Trendlines and Regression Analysis;
  6. Forecasting Techniques;
  7. Introduction to Data Mining;
  8. Spreadsheet Modeling and Analysis;
  9. Simulation and Risk Analysis;
  10. Linear Optimization;
  11. Integer and Nonlinear Optimization;
  12. Decision Analysis;
  13. Review and Group Presentation;
  14. Introduction to Business Analytics;
  15. Database Analytics;
  16. Data Visualization;
  17. Descriptive Statistics;
  18. Trendlines and Regression Analysis;
  19. Forecasting Techniques;
  20. Group Work on Descriptive Analytics Dashboard;
  21. Spreadsheet Modeling and Analysis;
  22. Simulation and Risk Analysis;
  23. Linear Optimization;
  24. Integer and Nonlinear Optimization;
  25. Decision Analysis;
  26. Review and Group Presentation.

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