In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing.
The goal of this course is to prepare graduate students to perform 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.
Students willing to take the course as part of their graduate program have to enroll through Acorn/ROSI.
M. Ponce, E. Spence 8 credits towards Scientific Computing 28 credits towards Data Science Enrolled: 102; Attended: 80.
Course Summary
In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing.
The goal of ... M. Ponce, E. Spence 8 credits towards Scientific Computing 28 credits towards Data Science Enrolled: 102; Attended: 80.
Course Events
•MSC1090 Introduction to Computatio...
When:  2020-09-08 12:00 - 13:30 EDT Where: SciNet Online •MSC1090 Introduction to Computatio... When:  2020-09-10 12:00 - 13:30 EDT Where: SciNet Online •MSC1090 Introduction to Computatio... When:  2020-09-15 12:00 - 13:30 EDT Where: SciNet Online There are 21 more events for this course.
Tests
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