Principles and Techniques of Data Science

Catalog description

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 (DASC1003 & DASC1104). This class bridges the introduction to data science and upper-division data science courses. 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. Corequisite: Lab component, MATH 2214 Calculus II