Course Information
- Lecture: MWF 1:50 - 2:45 in Point 113
- Instructor: Prof. Stucki
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A second course in Python for non-majors, focusing specifically on tools, packages, and
techniques for working with large data sets for business analytics and data science.
Topics covered include data validation/integrity, data structures, pattern matching,
visualization, and machine learning. Includes coverage of Python packages numpy, pandas,
matplotlib, scikit-learn, re, and xlwings (amongst others).