Johns Hopkins University
Differential Calculus through Data and Modeling Specialization
Johns Hopkins University

Differential Calculus through Data and Modeling Specialization

Learn differentiable Calculus through modelling. Master differentiation techniques for common single and multivariable functions to apply to optimization problems.

Joseph W. Cutrone, PhD

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4.8

(174 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(174 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Model data with both single and multivariable functions

  • Find maximum and minimum values of both single and multivariable functions, with and without constraints, to find optimal solutions to problems.

  • Understand properties of different types of functions to apply them accordingly to model different situations.

  • Perform operations of differential calculus, such as finding velocity, acceleration, rates of change, and slopes of tangent lines.

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Taught in English

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Specialization - 4 course series

Calculus through Data & Modeling: Precalculus Review

Course 17 hours4.8 (103 ratings)

What you'll learn

Calculus through Data & Modeling: Limits & Derivatives

Course 29 hours4.7 (190 ratings)

What you'll learn

Calculus through Data & Modeling: Differentiation Rules

Course 37 hours4.8 (60 ratings)

What you'll learn

What you'll learn

Instructor

Joseph W. Cutrone, PhD

Top Instructor

Johns Hopkins University
20 Courses540,499 learners

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