Jun 18, 2019  
2017-2019 Undergraduate Catalog 
    
2017-2019 Undergraduate Catalog
[Add to Portfolio]

MAT 319 - Data Science II Credits: 3


This is the second semester of a two-semester sequence in Data Science. Using real-world examples of wide interest and a popular programming language such as R or Python, we introduce methods for key facets of a data-driven investigation. These may include using statistical inference to infer properties of a population, using regression analysis to estimate the relationship among variables, using machine learning to make predictions, and creating interactive data products.

Prerequisite(s): MAT 219  with minimum grade of C and MAT 317  with minimum grade of C



[Add to Portfolio]