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Jan 30, 2026
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STAT 728 - Python for Statistics and Data Science Credits 3
Explores the Python tools for statistical analysis and data science. Topics included but not limited to (1). Python basics (loop, function, object-oriented programming with class, data structure); (2). Getting data with REST APIs (3). Data cleaning and preprocessing, feature engineering, descriptive statistics, and visualization in Python; (4) Quantiles and sampling from parametric distributions in Python; (5) Hypothesis testing and CI; (6). Regression and classification analysis in Python; (7). Clustering analysis in Python
Repeat for Credit N
Requisites Prerequisite: Introductory knowledge in statistical methods: STAT 341 or STAT 351 or STAT 511 or STAT 611 or STAT 703 or STAT 705 or STAT 713 or STAT 717 or instructor consent.
Typically Offered Spring
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