- 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