STSCI 4060 - Python Programming and its Applications in Statistics

(SDS-AS)

Spring. 4 credits. Student option grading.

Prerequisite: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred). Co-meets with STSCI 5045.

X. Yang.

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.