Introduction to Statistical Computing

This is an introductory course in programming-based statistical software packages, such as SAS, R, and Matlab, intended for students with statistics background. Students will learn the core of ideas of programming such as objects, data structures, looping, and functions. Students will also learn how to read data from different types of files, format them appropriately and use them to perform basic statistical analyses, such as graphing and computing numerical summaries, or more advanced statistical analyses, such as one and two sample T-tests, Chi-square for comparisons of proportions, regression, non-parametric analyses, bootstrapping, and simulations.

Term 202440 #43927 STAT02311
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Instructor
Papachristou, Charalampos Email View Faculty Courses
Meeting Times
Location: ROBSON 310 (M)
@ 17:00 - 18:15
From 2024-09-03 to 2024-12-19
Enrollment

1

seats available

14

currently enrolled

15

maximum enrollment

Section Tally

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