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UW Statistics Courses
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== More Courses == IMT 573 Data Science I. is focused on the theoretical foundations of data science and provides a nontechnical overivew of the key concepts and skills required for data science. It introduces common data science pipelines, data collection and storage, basic analytics, meachine learning and data visualization with industry standard statistical packages. IMT 574 Data Science II. is the second course in the sequence offers theoretical and practical introduction to techniques for the analysis of large-scale data. The course does have prerequisites but depending on where you are in the program it can be a good choice. Data 512 is Human-Centered Data Science. It introduces the fundamental principles of data science and its human implications. Data ethics, privacy, algorithmic bias, legal frameworks, intellectual property and more. CSSS 594 is a 1 credit special topics course. Have a peek to see if whatever is being offered in the current quarter is something your interested in. CSE 160 is a 3 credit introduction to data manipulation in Python. It is an undergraduate course but if youre coming in unfamiliar with how to manipulate your dataset this course can be helpful. *it is intended for students without prior programming experience*
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