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.
Date de début: : 7 janv. 2025Date de fin: : 3 avr. 2025Nombre de crédits - calcul scientifique: 8Nombre de crédits - science des données: 28Événements:Une liste complète des événements du cours peut être trouvée ici ici.Assignment 1 is due - jeudi 16 janvier, 23:59Assignment 2 is due - jeudi 23 janvier, 23:59Assignment 3 is due - jeudi 30 janvier, 23:59
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Ouvert le : jeudi 16 janvier 2025, 11:00À rendre : jeudi 23 janvier 2025, 23:59
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Ouvert le : jeudi 23 janvier 2025, 11:00À rendre : jeudi 30 janvier 2025, 23:59
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