Calculus through Data & Modeling: Applying Differentiation
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...
About 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.
Topics Covered
Frequently Asked Questions
How much does Calculus through Data & Modeling: Applying Differentiation cost?
Visit the Calculus through Data & Modeling: Applying Differentiation course page for current pricing and available discounts.
Who teaches Calculus through Data & Modeling: Applying Differentiation?
Calculus through Data & Modeling: Applying Differentiation is taught by Joseph W. Cutrone, PhD, Johns Hopkins University.
What skill level is Calculus through Data & Modeling: Applying Differentiation for?
This course is designed for all levels learners.
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