University of California, Berkeley 4 credits Data Science Undergraduate Studies
How do we reason about data using mathematical models of random events? This course will complement the computational and conceptual toolkit students develop in Data C8. Students will build the mathematical and graphical problem-solving skills needed for upper-division courses in data science. The course will integrate and rehearse key proficiencies developed in prerequisite math classes while offering a focused introduction to specific multivariate concepts expected in following courses. It will fold this practice into a narrative motivated by the introduction to reasoning with uncertainty provided by Data C8, while providing a basic foundation in probability.
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