- Foundations of kdb+ and the q programming language
- Working with tables and q-sql
- Big data in kdb+/q
- Tickerplant architecture for data captures
- Data science and machine learning crash course
- Tree-based regression and classification, random forests
- Neural networks in kdb+/q
- Applications of machine learning in kdb+/q; Google DeepMind and Monte Carlo search