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Mar 29, 2026
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IT 540 - Introduction to Data Science
Data is the core asset of organizations in all domains. Managing that data and extracting actionable results is key to business survival and success. This course introduces the student to the field of data science. It provides an interdisciplinary overview of the various domains integrated into data science including business acumen, quantitative analysis, data storage and retrieval technologies, visualization, and presentation methodologies.
Credit(s): 3
Prerequisite(s):
IT 534 or QM 504 or IT 533 or IT 410 .
Outcomes
- Examine the data science lifecycle from data collection, storage, query, and result presentation.
- Investigate the various types of data sources and repositories.
- Evaluate various statistical analysis techniques that can be used to analyze data sets.
- Build a variety of machine learning models to make data-informed predictions
- Apply skills and knowledge in preparing data for analysis and conducting data queries.
- Assess the use of visualization and other presentation technologies.
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