Calculus through Data & Modeling: Applying Differentiation

This course is part of Differential Calculus through Data and Modeling Specialization

Instructor: Joseph W. Cutrone, PhD

Skills you'll gain

  •   Estimation
  •   Calculus
  •   Derivatives
  •   Numerical Analysis
  •   Algebra
  •   Mathematical Modeling
  •   Applied Mathematics
  •   Cost Estimation
  •   Operations Research
  • There are 5 modules in this course

    As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data analysis. The topics in this course lend themselves to many real-world applications, such as machine learning, minimizing costs or maximizing profits.

    Maxima and Minima of Single-Variable Functions

    Maxima and Minima of Multivariable Functions

    Lagrange Multipliers

    Final Project - Optimization

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