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

Published at : Updated

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