This course is focused on data wrangling, visualization, and modeling. Students use Python along with the most common Data Science libraries to apply skills to real-world data sets. Assignments will include in-class labs and larger out-of-class projects that ask students to write code to apply key concepts as well as write text to reflect on the effectiveness of different data analysis approaches and to interpret results. Achieves technology student learning outcomes a, b, c, d, and e.

View CSC 4422 in the Academic Catalog

Approved for Data Intensive Course Designation starting Spring 2024.