Integral Calculus and Numerical Analysis for Data Science

This course is part of Expressway to Data Science: Essential Math Specialization

Instructors: James Bird +1 more

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What you'll learn

  •   Practice integrating by parts for more complex problems.
  •   Identify how bisection works after its given an initial guess.
  •   Diagonalize a matrix by hand.
  •   Compute the partial derivatives of a function.

    • Skills you'll gain

  •   Applied Mathematics
  •   Linear Algebra
  •   Derivatives
  •   Data Science
  •   Numerical Analysis
  •   Calculus
  •   Integral Calculus
  •   Mathematical Theory & Analysis

    • There are 4 modules in this course

    This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com

    Numerical Analysis Intro

    Diagonalization & SVD

    Partial Derivatives & Steepest Descent

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