STSCI 4060
Last Updated
- Schedule of Classes - March 17, 2025 8:55AM EDT
Classes
STSCI 4060
Course Description
Course information provided by the 2025-2026 Catalog.
The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, graphics, GUI, Jupyter notebook, etc. The second part deals with Python application in statistics (e.g., 2D/3D data visualization and statistical analysis, using some important Python packages for statistical computing and machine learning, for example, Numpy, Scipy, Pandas, and Scikit-learn, etc.) Python-database integration (e.g., access, update and control an Oracle database), and Python web services (e.g., database-driven dynamic webpages using Python CGI scripts). These techniques are utilized in a comprehensive course project.
Prerequisites REF-FA25/Corequisites REF-FA25 basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred). Corequisites: None.
Distribution Requirements (OPHLS-AG), (SDS-AS)
Last 4 terms offered (None)
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 5045
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- MWF
- Aug 25 - Dec 8, 2025
Instructors
Yang, X
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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