Intermediate Data Science Training

I’m looking for an experienced data-science educator who can jump straight into an intensive training program for a group of intermediate professionals. The sessions must dive equally into Machine Learning techniques, practical Data Visualization and the statistical foundations that connect the two.

Because everyone already knows the basics, we can skip introductory explanations and spend our time writing production-ready notebooks, critiquing model performance, refining visual storytelling, and reinforcing each concept with real-world case studies. I want the material delivered as live interactive classes (remote is fine), supported by concise slide decks, reproducible code examples in Jupyter and follow-up exercises that participants can complete between sessions.

Timing is critical—please be ready to start almost immediately and propose a schedule that lets us move quickly while keeping quality high.

Deliverables
• A detailed curriculum outline covering ML, visualization and statistics
• Live virtual training sessions with recordings for later review
• Jupyter notebooks, datasets and solution keys for all hands-on work
• Brief quizzes or mini-projects to gauge understanding
• A final Q&A or capstone review to consolidate learning

If you’ve successfully guided similar audiences before and can commit to an accelerated rollout, let’s discuss how you would structure the program and your availability to begin this week.