The compete set of materials are here. Use “save link as” if your browser does not open these PDFs.
- Course syllabus
- Introduction to Data Analysis
- Written exam: the white sheet and the full draft version
- Examples of Data Mining problems (MIT Open courseware)
- Introduction, quantitative modelling
- Examples of Data Mining problems (MIT Open courseware)
- MSExcell Linear regression and Prices forecasting
- MSExcell k-NN Forecasting example
- Google spreadsheet commands
- DMBA data repository
- Indicators and decision making part1 and part2
- Pairwise comparison
- Kemeny-Young method (wiki)
- Pareto optimal front part 1 and part 2
- Risk analysis and banking scoring and risk analysis flowchart
- 1) Weight of evidence 2) Cohort analysis 3) Stability report 4) Scorecard planning (SAS)
- Logistic regression calculator (Statpages)
- Atoms for Scilab
- Data preparation and General statistics (Uni.-Princeton )
- Sociological data processing
- Verification of scoring models
- Classification and decision trees
- Forecasting of goods consumption
- Nonparametric regression
- Forecasting of energy consumption/stock option price
- The next day energy consumption forecasting
- Management and standards, CRISP-DM
- IDEF0 diagrams
- Show1, Show2, and Memos
- Resume
