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
Integral Calculus and Numerical Analysis for Data Science
This course is part of Expressway to Data Science: Essential Math Specialization
Instructors: James Bird
7,044 already enrolled
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109 reviews
Intermediate level
Recommended experience
Flexible schedule
4 hours to complete
Learn at your own pace
Prepare for a degree
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.
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Assessments
8 assignments
Taught in English
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This course is part of the Expressway to Data Science: Essential Math Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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Prepare for a degree
Taking this course by University of Colorado Boulder may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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Instructor ratings
(26 ratings)Offered by
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University of Colorado Boulder
University of Pittsburgh
University of Colorado Boulder
University of Pittsburgh
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Showing 3 of 109
PJ
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.
SR
Reviewed on Jan 19, 2025
fast paced and minimal but very clear with good teaching
KC
Reviewed on Mar 16, 2025
Teaching is good, but should include more practice questions.
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