Session 1: What Do You Notice?
Observation is the first skill of data science. Learn to sort, group, describe, and find patterns in the world around you.
Your Progress
Learning Objectives
By the end of this session, you will be able to:
- Observe and describe objects using specific attributes
- Sort a collection of items by one or more attributes
- Identify patterns in everyday life
- Understand that observation is the first step in data science
Why This Matters
Before you can count, you must notice. Before you can graph, you must see patterns. Observation is the foundation of all data thinking.
Session Lessons
Looking Carefully
Learn the difference between glancing and observing. Practice describing what you see with precision.
~30 minutes Discussion
Sorting and Grouping
Sort objects into groups using different attributes. Discover that the same collection can be organized in many ways.
~30 minutes Activity
Finding Patterns
Patterns are everywhere — in nature, in schedules, in behavior. Learn to spot them and describe them.
~30 minutes Discussion
Your Observation Journal
Start an observation journal. Record what you notice using words, numbers, and simple sketches.
~30 minutes Activity