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

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Practice sessions

  • 18.02 - Descriptive statistics and visualization
    • Accompanied dataset - intro_dataset.csv
  • 26.02 - Customer Segmentation
    • RFM dataset - orders_rfm.csv
  • 05.03 - Customer lifecycle management - regression
    • RFM dataset - Advertising.csv
  • 12.03 - Customer lifecycle management - classification
    • customer churn data - edw_cdr.csv
  • 19.03 - Models' Evaluation
    • customer churn data - edw_cdr.csv
  • 26.03 - Understanding And Mining Text
    • dataset1 - apple.csv
    • dataset2 - apple2.csv
    • dataset3 - knn.csv
  • 02.04 - Link Analysis
    • Networks Dataset - Networks.csv
  • 09.04 - Fraud Detection
    • Credit Card Dataset - Creditcard.csv Δ
  • 16.04 - Financial Forecasting
  • 07.05 - A/B Testing
    • A/B test data - AB_clicks.csv
  • 14.05 - Recommender system
    • Movies and ratings data - movies.csv, ratings.csv
  • 21.05 - Market Basket Analysis
    • Cosmetics data - Cosmetics.csv
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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