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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...

By Joseph W. Cutrone, PhD on Coursera

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.

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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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Students0
DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera