Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will also cover root-finding methods, matrix decomposition, and partial derivatives.
Integral Calculus and Numerical Analysis for Data Science
This course is part of Expressway to Data Science: Essential Math Specialization
Instructors: James Bird
Sponsored by PTT Global Chemical
5,063 already enrolled
(92 reviews)
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What you'll learn
Practice integrating by parts for more complex problems.
Identify how bisection works after its given an initial guess.
Diagonalize a matrix by hand.
Compute the partial derivatives of a function.
Skills you'll gain
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There are 4 modules in this course
Explore the notion of area under a curve, how that relates to the integral and compute basic integrals.
What's included
5 videos1 reading4 assignments
Introduction to Numerical Analysis using 2 root-finding methods.
What's included
2 videos2 assignments
Explore general matrix decomposition, as well as a specialized and useful version called Singular Value Decomposition.
What's included
7 videos1 assignment
We will learn a core calculus concept called partial derivatives, as well as delving into directional derivatives and their usefulness in higher level statistics.
What's included
5 videos1 assignment
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Reviewed on May 30, 2024
This was an excellent course. Covered some very technical aspects of both derivatives and linear algebra cleanly, and the quizzes made sense.
Recommended if you're interested in Math and Logic
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