EES1137 Quantitative Applications for Data Analysis (Winter 2024)
Topic outline
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EES1137 Quantitative Applications for Data Analysis (Winter 2024)
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practises to store, manage and analyze (large) data. Topics include: Python and R programming, version control, automation, modular programming and scientific visualization.
Students willing to take the course as part of their graduate program must enrol through Acorn/ROSI.
Start date: 9 Jan. 2024End date: 4 Apr. 2024Scientific Computing Credits: 8Data Science Credits: 28Events:A full list of course events can be found here.EES1137: Lecture 1 - Tuesday, 9 January, 10:00 AM » 12:00 PMEES1137: Lecture 2 - Thursday, 11 January, 11:00 AM » 12:00 PMEES1137: Lecture 3 - Tuesday, 16 January, 10:00 AM » 12:00 PM
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Ouvert le : mardi 16 janvier 2024, 11:00À rendre : mardi 23 janvier 2024, 23:59
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Ouvert le : mardi 13 février 2024, 11:00À rendre : mardi 27 février 2024, 23:59
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Ouvert le : jeudi 4 avril 2024, 11:00À rendre : jeudi 11 avril 2024, 23:59
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