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
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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