Catalog Entries |
Fall 2024 Semester
Mar 19, 2025 |
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| DS 2000 - Programming with Data |
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Introduces programming for data and information science through case studies in business, sports, education, social science, economics, and the natural world. Presents key concepts in programming, data structures, and data analysis through Python and Excel. Integrates the use of data analytics libraries and tools. Surveys techniques for acquiring and programmatically integrating data from different sources. Explains the data analytics pipeline and how to apply programming at each stage. Discusses the programmatic retrieval of data from application programming interfaces (APIs) and from databases. Introduces predictive analytics for forecasting and classification. Demonstrates the limitations of statistical techniques.
2.000 Credit hours 2.000 Lecture hours Levels: Undergraduate, Undergrad Special Schedule Types: Lecture Data Science Department Course Attributes: NUpath Analyzing/Using Data, NU Core Science/Tech Lvl 1, Computer&Info Sci |
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