CMST 190 - Information Engineering for Data Science

Credits: 1

This course introduces the fundamentals of data science within an operationalized setting. Topics include: data modeling, data structures, data programming (using SQL), data wrangling, descriptive statistical analysis, and version control (Github).

 

Repeat for Credit
N

Requisites:
Prerequisite: MATH 100, MLAS 100 or CYBR 103

Typically Offered
Fall