Project-based Learning: 

• Collaboratively investigate social, environmental, business and other aspects of our world

• Use data science life cycle: ask questions, gather data, look for patterns to tell stories about the world around us

• Explore types of data, ways to analyze data, how to identify bias and uncertainty in data, and the impact of data in society.

Tools:  will use various platforms to build introductory programming and data science skills including Pyret

Homework: some

Tests: few, if any

Prerequisite: Algebra I, though students may take Algebra I and this at the same time

This course is perfect for someone who is interested in an introduction to how we can combine math, statistics, and computer science to explore our world.