K–6TechNest
Data Science Introduction
Analyze data with Python
Maris
CassBefore you start
- Age band
- K–6
- Time
- 45–90 minutes
- Quest type
- Hanging Out
- Guardian
- Lars · Wayne
- Materials needed
- Graph paper notebook
- Book: "Python Crash Course" by Eric Matthes
- Book: "Storytelling with Data" by Cole Nussbaumer Knaflic
Video resources
What is Artificial Intelligence? | ChatGPT | The Dr Binocs Show | Peekaboo Kidz
This 6-minute video from Peekaboo Kidz relates to "Data Science Introduction". Sourced from a vetted educational channel with YouTube safe-search strict. Please preview before sharing — final vetting is a human step.
Watch on YouTube →Why this skill rocks
You learn to find cool patterns and answers in big piles of information, like a super detective for numbers. It's like solving a puzzle with a computer!
2034Where this could take you
When the Olympics come in 2034, you could be using your skills to figure out which athletes are fastest, or predicting medal winners, making the games even more exciting!
What You'll Need
Optional materials for this quest.
Graph paper notebook
RequiredSketch your data visualizations by hand before coding them. Drawing a chart first forces you to think about what story you are actually trying to tell, and reveals whether your data can support that story.
Book: "Python Crash Course" by Eric Matthes
RequiredThe clearest beginner Python book available. The data visualization chapter alone is worth it — walks through Matplotlib and real datasets with projects you build from scratch. Used by learners worldwide including at Utah coding camps.
Book: "Storytelling with Data" by Cole Nussbaumer Knaflic
A masterclass in turning raw numbers into visuals that actually communicate. Goes deep on chart choice, color, and layout — the difference between a confusing chart and one that makes your findings instantly obvious.