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

Kansas State University

Course Catalog

STAT 728 - Python for Statistics and Data Science