- Data preparation
- Scientific formulation of testable hypotheses
- Scaling and reliability check
- Descriptive statistics
- Further adjustments
- Exploratory statistics
- Inferential statistics (supervised machine learning regression & classification)
- Documentation & interpretation with explanations and tricks
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