Back to Integral Calculus and Numerical Analysis for Data Science
University of Colorado Boulder

Integral Calculus and Numerical Analysis for Data Science

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. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com

Status: Numerical Analysis
Status: Data Science
IntermediateCourse4 hours

Featured reviews

SR

Reviewed Jan 19, 2025

fast paced and minimal but very clear with good teaching

NB

Reviewed Jun 11, 2026

I have successfully completed this course. Thank you for the valuable lessons and support.

KC

Reviewed Mar 16, 2025

Teaching is good, but should include more practice questions.

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