I. Departure.
1. Introduction.
2. A model development environment.
3. Model development workflows.
4. Data structures in data science. II. Initiation.
5. Functions as a lingua franca.
6. Computing strategies.
7. Common data transformations.
8. Computational system architecture.
9. Migrating data sources.
10. Case studies