Detailed Course Information |
Spring 2024 Semester
May 14, 2024 |
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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 Restrictions: Must be enrolled in one of the following Levels: Undergraduate May not be enrolled in one of the following Majors: Computer Engr/Computer Science Computer Science/Biology Computer Sci/Behavior Neurosci Computer Science Computer Sci/Criminal Justice Comp Sci/Cognitive Psyc Computer Sci/Communication Stu Computer Sci/Digital Art Computer Science/Design Computer Science/Economics Computer Science/English Computer Sci/Environment Sci Computer Science/Game Design Computer Science/History Computer Sci/Interactive Media Comp Sci/Information Sci Computer Science/Journalism Computer Science/Linguistics Comp Sci/Mathematics Computer Science/Media Arts Computer Sci/Music Computer Sci/Philosophy Computer Sci/Political Sci Computer Sci/Physics Computer Sci/Sociology Cybersecurity/Business Admin Cybersecurity Cybersecurity/Criminal Justice Cybersecurity/Economics Corequisites: DS 2001 |
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