SySc 445 Application of Data Science
Introduction to data science as a profession and toolset, including its role in various types of projects, from exploration to discovery to prediction. Surveys current methods and technologies, emphasizing what’s possible, feasible, and practical in terms of modeling and interactive visualization. Complements courses focused on specific methods and tools. Expected preparation: It will be helpful though not required to have exposure to data management or programming/scripting tools such as Matlab, Mathematica, R, Python, SPSS, or advanced Excel scripting or formulas.
Slash Listed Courses
Also offered for graduate-level credit as
SySc 545 and may be taken only once for credit.