| |
Oct 23, 2026
|
|
|
|
|
DAT 315 - Introduction to Data Science Credits: 4
The course introduces students to the basic principles of data science. Topics to be covered include data types and uses, basic statistical analysis, structured and unstructured datasets, programming languages, data manipulation and organization, examples of the applications of analytics in various fields, introduction to data mining, machine learning, and visualization.
Prerequisites: STAT 327 or STAT 352 Corequisite(s): CS 162
Add to Portfolio (opens a new window)
|
|