STSCI 5045

STSCI 5045

Course information provided by the Courses of Study 2022-2023.

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.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: STSCI 5060 (or basic SQL programming skill), and one intro statistics course.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4060

  • 4 Credits Stdnt Opt

  • 10200 STSCI 5045   LEC 001

  • Instruction Mode: In Person
    Prerequisites: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred).

  • 18932 STSCI 5045   DIS 201

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email