Oct 23, 2026  
2023-2024 Academic Catalog 
    
2023-2024 Academic Catalog [NOT CURRENT CATALOGS]

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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  



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