Here are three practical tips to help you think like a data scientist:

1. Start with Questions

Great data work begins with curiosity. Instead of jumping straight to the numbers, take a step back and ask: What’s going on here? Why is this happening? For example, if student engagement is dropping, dig into the possible causes. Is it the material, the delivery, or something outside the classroom? Asking thoughtful questions can help you find solutions you might not have considered.

Try this: Gather your team and identify a few key questions about an issue you’re facing. Use these as your starting point when diving into the data.

2. Look for Patterns Over Time

One data point won’t tell you the full story. Knight emphasizes the importance of tracking trends to uncover the bigger picture. For example, a single drop in test scores might not mean much, but if it’s part of a longer downward trend, it’s worth digging into. Patterns help you focus your efforts where they’ll have the most impact.

Try this: Use simple visuals—charts, graphs, or dashboards—to track trends over time. Share these with your team to guide discussions and decisions.

3. Don’t Forget the Context

Data doesn’t exist in a vacuum. To truly understand what’s happening, you need to consider the bigger picture—like student demographics, recent changes in policies, or external challenges. Knight reminds us that context is key to making informed decisions that actually make sense.

Try this: Pair your data analysis with input from those directly affected, like students, teachers, or families. Their stories can help explain what the numbers don’t show.

By approaching data with curiosity, a focus on trends, and an awareness of context, you’ll start thinking like a data scientist—and making decisions that create lasting change.

Check out the full podcast episode with Dr. Jim Knight here.