DASC2301 — Principles and Techniques in Data Science
This class bridges between the Introduction to Data Science course and upper division data science courses as well as methods courses in other concentrations. This class equips students with essential basic elements of data science ranging from database systems, data acquisition, storage and query, data cleansing, data wrangling, basic data summarization and visualization, and data estimation and modeling. Students will gain hands-on experience using Python and various packages in Python. Term Every other semester or as demanded
Prerequisites: DASC1301