2020-2021 Graduate Catalog [ARCHIVED CATALOG]
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STAT 540 - Foundations of Data Science
Credit Hours: 3
Lecture Hours: 3
Lab Hours: 0
This course will introduce students to the foundations of the constantly evolving field of data science. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis (EDA), descriptive/predictive modeling, data product development, evaluation, effective communication. R language is used with emphasis on practical application using real-world data from many disciplines.
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