Transfers ToCSUDescriptionIntroduction to the fundamental concepts and computational skills needed to understand and analyze data arising from real-world phenomena. Topics include key data science concepts such as correlation vs. causation, randomness, sampling, uncertainty, predictive models, and classification. Using a tool such as Jupyter notebooks, students write code for transformation and use of data tables, simulation models, and A/B testing.Usually HeldWed 1:00pm–2:50pm, Tue 12:00pm–1:50pm 