DASC 2113 Principles and Techniques of Data Science
Principles and Techniques in Data Science is an intermediate semester-long data science course that follows an overview of data science in today’s world. This class bridges between Introduction to Data Science 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.
Offered
Fall