Intermediate Data Analytics Online Training

I’m arranging a live, instructor-led programme for a cohort of students who already grasp the basics of data analysis and now need to move confidently into intermediate territory. The course has to balance two toolsets: classic spreadsheet techniques in Excel and a solid, hands-on introduction to Python for analytics.

Here’s what I need from you: guide them through Excel features that go beyond simple formulas—think pivot tables, lookup functions, Power Query and basic dashboards—then transition into Python, showing how pandas streamlines data wrangling, how matplotlib or seaborn turn results into clear visuals, and finally how scikit-learn opens the door to entry-level machine-learning models.

Because everything will run online, I’m counting on you to:

• Deliver engaging, real-time sessions (screen-sharing, coding live, troubleshooting on the spot).
• Supply concise slide decks, datasets for practice, and step-by-step notebooks or Excel files after each class.
• Assign short exercises and a capstone mini-project so I can verify learning outcomes.

Once the course wraps up, my students should be comfortable
 cleaning and reshaping data with pandas, visualising trends in both Excel and Python, and building a first supervised model in scikit-learn.

If you have experience training at this level and can demonstrate it with sample materials or recorded snippets, I’d love to hear how you would structure the sessions and timeline.