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Calculus through Data & Modeling: Differentiation Rules

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without...

By Joseph W. Cutrone, PhD on Coursera

About This Course

Calculus through Data & Modeling: Differentiation Rules continues the study of differentiable calculus by developing new rules for finding derivatives without having to use the limit definition directly. These differentiation rules will enable the calculation of rates of change with relative ease the derivatives of polynomials, rational functions, algebraic functions, exponential and logarithmic functions, and trigonometric and inverse trigonometric functions. Once these rules are developed, they are then applied to solve problems involving rates of change and the approximation of functions.

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How much does Calculus through Data & Modeling: Differentiation Rules cost?

Visit the Calculus through Data & Modeling: Differentiation Rules course page for current pricing and available discounts.

Who teaches Calculus through Data & Modeling: Differentiation Rules?

Calculus through Data & Modeling: Differentiation Rules is taught by Joseph W. Cutrone, PhD, Johns Hopkins University.

What skill level is Calculus through Data & Modeling: Differentiation Rules for?

This course is designed for all levels learners.

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DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera