Official Description:Lecture—3 hours; laboratory—1 hour. Prerequisite: courses 130A and 130B or equivalent. Essentials of statistical computing using a general-purpose statistical language. Topics include algorithms; design; debugging and efficiency; object-oriented concepts; model specification and fitting; statistical visualization; data and text processing; databases; computer systems and platforms; comparison of scientific programming languages. Offered in alternate years.—II.

Instructors: This is taught by Duncan Temple-Lang

Other info and comments: Let us know in the comments

Software Used: Primarily R, with a few other complementary tools

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