Back to Calculus through Data & Modeling: Applying Differentiation
Johns Hopkins University

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 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.

Status: Operations Research
Status: Algebra
IntermediateCourse7 hours

Featured reviews

TP

5.0Reviewed Oct 12, 2025

great journey of real understanding and application based learning

WD

4.0Reviewed Jan 3, 2023

Excellent though difficult introduction to using differentiation for modeling.

LS

5.0Reviewed Dec 24, 2021

Excellent presentation overall with very good explanations and worked examples.

DP

5.0Reviewed Apr 26, 2022

Excellent course, very challenging and therefore rewarding when you get the answers right. The feedback is great for self-correction when you go wrong.

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