STSCI 4060

STSCI 4060

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)

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5045

  • 4 Credits Opt NoAud

  •  8318 STSCI 4060   LEC 001

    • MWF
    • Aug 25 - Dec 8, 2025
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8319 STSCI 4060   DIS 201

    • T
    • Aug 25 - Dec 8, 2025
    • Yang, X

  • Instruction Mode: In Person