This course builds upon the fundamental principles of Python and prepares students to utilize Python for data analysis. It covers Python skills and data structures, how to load data from different sources, rearrange and aggregate it, and how to analyze and visualize it to create high-quality products. Python is a powerful programming language and has a mature and growing ecosystem of open-source tools for mathematics and data analysis. This course covers working with strings, lists and dictionaries (in addition to variables), reading and writing data, use of Pandas for data analysis, group, aggregage, merge and join, time series and data frames, matplotlib for visualization, and creating format and output figures. This course prepares students for further study of predictive analytics using Python.
Preview the Online Syllabus
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)