MATH Data Science 3

Students will learn to understand, ask questions of, and represent data through project-based units. The units will give students opportunities to be data explorers through active engagement, developing their understanding of data analysis, sampling, correlation/causation, bias and uncertainty, modeling with data, making and evaluating data-based arguments, and the importance of data in society. DATA SCIENCE 3 will include: Bias
● Data collection and cleaning
● Normalization and weighting of data
● Forming mathematical models
● Sensitivity analysis
● Writing reports and communicating finding
● Predictive modeling
● Machine learning
● Linear Algebra
● Conditional Probability

Credit: 0.5

Length: (1) Trimester

Grade Level: 

Cum Laude Points: 0