Mathematics: Mathematics for Data Science
University of Wisconsin-Madison · WI · MATHEMATICS-MATHEMATICS-DATA-SCIENCE-BS
Mathematics: Mathematics for Data Science is a degree at University of Wisconsin-Madison, WI. It covers areas like computational mathematics, applied mathematics, mathematical economics, calculus, linear algebra, statistical computing. The summary below is compiled from public course information — approximate, not official.
University of Wisconsin-Madison
What you'll study in Mathematics: Mathematics for Data Science
Example subjects: — INTRODUCTION TO APPLIED ECONOMETRICS, — INTRODUCTORY ECONOMETRICS, — FUNDAMENTALS OF DATA ANALYTICS FOR ECONOMISTS, — CALCULUS AND ANALYTIC GEOMETRY 1, — CALCULUS AND ANALYTIC GEOMETRY 2, — CALCULUS--FUNCTIONS OF SEVERAL VARIABLES, — LINEAR ALGEBRA AND DIFFERENTIAL EQUATIONS, — APPLIED MATHEMATICAL ANALYSIS 1: VECTOR AND COMPLEX CALCULUS, — APPLIED MATHEMATICAL ANALYSIS 2: PARTIAL DIFFERENTIAL EQUATIONS, — ELEMENTARY MATRIX AND LINEAR ALGEBRA, — LINEAR ALGEBRA, — LINEAR ALGEBRA AND OPTIMIZATION.
Frequently asked questions
What will I study in Mathematics: Mathematics for Data Science?
Mathematics: Mathematics for Data Science covers areas like applied-mathematics, mathematical-economics, computational-mathematics, calculus, linear-algebra, statistical-computing, data-analytics, applied-statistics.
Who offers Mathematics: Mathematics for Data Science?
Mathematics: Mathematics for Data Science is offered by University of Wisconsin-Madison, WI.
Considering Mathematics: Mathematics for Data Science?
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Sources: University of Wisconsin-Madison official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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