Institute of Computer Science
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  2. 2017/18 spring
  3. Business Data Analytics (MTAT.03.319)
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Business Data Analytics 2017/18 spring

  • Main
  • Lectures
  • Practice sessions
  • Class Assignments
  • Homework
  • Discussion board
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Lectures

  1. 12.02 -- Introduction
    • Slides
  2. 19.02 -- Descriptive analysis and visualization
    • Slides
  3. 26.02 -- Customer segmentation
    • Slides
  4. 05.03 -- Customer Lifecycle management - regression problems
    • Slides
  5. 12.03 -- Customer Lifecycle management - classification problems
    • Slides
  6. 19.03 -- Models' Evaluation
    • Slides
  7. 26.03 -- Understanding and Mining Text
    • Slides
  8. 02.04 -- Link Analysis : Introduction and Basics about Network Science.
    • Slides
  9. 09.04 -- Fraud Detection
    • Slides
  10. 16.04 -- Financial Forecasting
    • Slides
  11. 23.04 -- Guest Lecture No Lecture
  12. 30.04 -- Holiday
  13. 07.05 -- A/B testing in marketing
    • Slides
  14. 14.05 -- Cross-sell/Up-sell recommendations: Collaborative Filtering
    • Slides
  15. 21.05 -- Cross-sell/Up-sell recommendations: Association rule mining/Market Basket Analysis
    • Slides
  16. 28.05 -- Exam Preparation + Guest Lecture by Veronika Plotnikova, Swedbank: Topic and exact date to be decided

Exams

  • Sample questions for Exam
  • Date: 7 and 11 June 2018
  • Room: Juhan Liivi 4, Room 105
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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