Mar 29, 2024  
2021-2022 Graduate Catalog 
    
2021-2022 Graduate Catalog [ARCHIVED CATALOG]

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STA 596 - Practical Data Science


This is an introductory course in data science. It will cover a full technical pipeline from database management to data analytics and the final data product. Topics include data manipulation at scale, machine learning and data mining algorithms, statistical modeling, information visualization, and special topics chosen from text mining and social network analysis. After completing this course, students will be able to work with large datasets and perform predictive analytics using a range of tools. Course projects will include cleaning, processing, and analyzing data at scale, along with formal technical writing with appropriate data visualizations.

Prerequisite(s): MAT 282 or permission of instructor.
Co-requisite(s):
Credits: 3

Course Typically Offered:
Course Type: Statistics



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