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Introduction to Programming for Data Science

MATH 10 (4.0 units)Session I

Intro to algorithms in data science using Python and R. Basic concepts of Python, store, access, and manipulate data in lists; functions, methods, and packages; NumPy, Numerical stability, and accuracy. Gradient descent and Newton’s method. Basics of R Programming. Prerequisite or corequisite: (MATH 2D or MATH H2D) and (MATH 3A or MATH H3A) and MATH 9. (II and VB ).

Instructor(s) Smith, L.
Schedule MWF 1:00 - 2:50pm, Anteater Learning Pavilion 3600
MWF 1:00 - 2:50pm, Donald Bren Hall (Computer Science III) 1300
Units 4.0
Course Code 44200
Fees
UC Undergraduate (per unit) $ 279.00
UC Graduate (per unit) $ 349.00
Visitor (per unit) $ 349.00
Note(s) None