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TSTAT 280 Applied Data Science (5) NSc, RSN
Introduces the data science life cycle, focusing on data acquisition, wrangling, exploration, and visualization, model building, model evaluation, and deployment. Students gain practical experience with modern programming environments, working on projects that simulate real-world workflows to develop actionable insights from data. Prerequisite: one of the following: (1) a minimum grade of 2.0 in TMATH 110 and a minimum grade of 2.0 in either TMATH 124 or MATH 124; (2) a minimum grade of 2.0 in TMATH 390.
View course details in MyPlan: TSTAT 280
