You’ve taken the first step! In the following modules, we’ll dive deeper into each of the five data science strands, always keeping the focus on practical applications you can use immediately.
Remember: you don’t need to become a data scientist to teach data science thinking. You just need to be curious, willing to learn alongside your students, and ready to help them develop the critical thinking skills they’ll need for the rest of their lives.
Building confidence through small successes creates sustainable change in your teaching practice. You don’t need to master all technical tools before starting - simple activities using basic materials work great. The best learning happens when you try things with your students as you learn, so start experimenting right away with activities that feel manageable.
