EES1137 Quantitative Applications for Data Analysis (Winter 2025)
Topic outline
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EES1137 Quantitative Applications for Data Analysis (Winter 2025)
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: 7 Jan 2025End date: 3 Apr 2025Scientific Computing Credits: 8Data Science Credits: 28Upcoming events:Assignment 4 is due - Thursday, 6 February, 11:59 PMAssignment 5 is due - Thursday, 13 February, 11:59 PM -
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AssignmentOpened: Thursday, 9 January 2025, 11:00 AMDue: Thursday, 16 January 2025, 11:59 PM
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AssignmentOpened: Thursday, 16 January 2025, 11:00 AMDue: Thursday, 23 January 2025, 11:59 PM
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AssignmentOpened: Thursday, 23 January 2025, 11:00 AMDue: Thursday, 30 January 2025, 11:59 PM
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AssignmentOpened: Thursday, 30 January 2025, 11:00 AMDue: Thursday, 6 February 2025, 11:59 PM
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AssignmentAssignment 5Opens: Thursday, 6 February 2025, 11:00 AMDue: Thursday, 13 February 2025, 11:59 PM
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