Let’s discuss some tips for engaging your child in data science.
1. Find patterns
Patterns are everywhere! Try to question your child to analyze any patterns they see in everyday life.
2. Create visualizations
Once your child finds a pattern, ask them to create a visual from the pattern. Attempt to have your child describe why seeing a pattern is helpful!
3. Use patterns to forecast
After your child identifies a pattern, begin to prompt them and ask what might happen next. How can the pattern we see help us predict the future?
4. Create fun surveys
Practice the data collection process by conducting a simple survey. Have your child run through the pattern recognition, visualization and forecast components after the survey data has been collected!
5. Dabble in code
Start having your child attempt code through games. Scratch has excellent, engaging, game-based coding applications that are non-threatening ways to begin coding.
6. Examine databases
Begin to discuss practical uses of databases, the large-scale nature of data collection, and the size of big-data. Start brainstorming ways to extract needed data from databases.
7. Extract data from databases
To learn extraction, students should begin trying simple SQL queries. W3 schools have excellent tutorials that are simple but user friendly.
8. Create fun graphs
Database extraction is so rewarding when you create a cool graph from the code’s data. There are many data visualization software that is free to try, like Flourish.
9. Showcase their successes
Data science is an undertaking that can be intimidating. Every tiny step forward should be showcased to demonstrate the progress and persistence of your child!
10. Learn with your child
Your child will be much more apt to learn if you are willing to take risks alongside them. Coding, visualizations, and forecasting will be a lot more fun if you are willing to participate in the effort!
Looking for an Online Class for your child?
Check out StemAcademy Data Analytics Class to get your child started on their journey towards analytics.