Frequently Asked Questions

Basic familiarity with Python, SQL and core data concepts is recommended. For advanced modules, prior exposure to machine learning fundamentals helps. We provide pre-course materials to level-set participants.

We offer half-day, full-day and multi-day formats, including remote, on-site and hybrid delivery. Typical hands-on workshops run one to three days depending on depth and the number of case studies included.

Yes. Custom courses start with an intake review of your data sources and use cases. We then adapt labs and case scenarios so the outcome is directly applicable to your environment.

Post-course office hours and follow-up consulting engagements are available to help operationalize artifacts produced during the training. Support scope is agreed per engagement.

Training uses anonymized or synthetic datasets unless explicitly agreed otherwise. We follow data minimization practices and can operate under your non-disclosure or data processing requirements for on-premise sessions.