People Innovation Excellence

BIG DATA ANALYTICS FOR BUSINESS (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to:

  1.  Define core concepts of data analytics and explain how they relate to business decision-making
  2. Identify and describe methods for collecting and preparing data for analysis in business contexts
  3. Apply appropriate data analytics techniques and visualization to support insights for business cases.
  4. Develop and present a data-driven business project using suitable analytics methods and tools.

Topics :

  1. Introduction to Business Data Analytics
  2. Data Preparation
  3. Visualization and Basic Statistics
  4. Data Exploration with Python
  5. Regression Case
  6. Forecasting Techniques
  7. Classification with Decision Tree
  8. Hands-on Decision Tree
  9. Association Rule Mining Concepts
  10. Market Basket Analysis Practical
  11. Clustering Concept
  12. Clustering Hands-on
  13. Instance-based Learning
  14. Time Series Forecasting for Business
  15. Analytics Tools for Business Insights
  16.  Data Storage & Processing Frameworks
  17. Business Dashboards & Data Communication
  18. Applied Data Analytics
  19. Final Project Planning
  20. Project Progress Check
  21. Project Consultation
  22. Project Consultation
  23. Advanced Concepts in Data Analytics
  24. Trends in Analytics
  25. Project Presentation
  26. Project Presentation

Published at : Updated

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