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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 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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Length | 6 weeks |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructor | Joseph W. Cutrone, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Math And Logic |
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Rating | Not enough ratings |
---|---|
Length | 6 weeks |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructor | Joseph W. Cutrone, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Math And Logic |
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