Institute of Computer Science
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  2. 2018/19 fall
  3. Business Data Analytics (MTAT.03.319)
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Business Data Analytics 2018/19 fall

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  • Lectures
  • Practice sessions
  • Homework
  • Discussion board
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Lectures

  1. 13.09: Introduction
    • Slides || Video
  2. 27.09: Tools: descriptive analysis and visualization
    • Slides || Video
  3. 11.10: Customer segmentation
    • Slides || Video 
 Please note: Due to technical issues the video was not recorded fully
  1. 25.10: Customer lifecycle management - regression problems
    • Slides || Video
  2. 08.11: Customer lifecycle management - classification problems
    • Slides in PDF || Slides in PPT || Video
  3. 22.11: Cross-sell/Up-sell recommendations
    • Slides || Video
  4. 06.12: Brand value monitoring
    • Slides || Video
  5. 20.12: Summary and Guest Lecture
    • Slides: Recap and Exam Preparation (in PDF)
    • Video
    • Guest Lecture: Data Analytics in Practice, Veronika Plotnikova, Swedbank

Exams

  • 11.01.2019: 10:15-13:15
  • 25.01.2019: 10:15-13:15
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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