KC
Reviewed Mar 16, 2025
Teaching is good, but should include more practice questions.
This course felt lacking in concepts and quizzes material. I think this course should be redone so that the teaching material can be made better.
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: Data Science
Status: Numerical Analysis
IntermediateCourse4 hours
Featured reviews
SR
Reviewed Jan 19, 2025
fast paced and minimal but very clear with good teaching
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Tayyeb
3.0
Reviewed May 15, 2023Nikos
5.0
Reviewed Nov 15, 2023One of the best lectures I have attended in the applied mathematics combining to numerical analysis in optimization and data science. Whole Specialization gives the essential tool set in Mathematics and Modeling in Data Science by case mathematical examples.
Paul
5.0
Reviewed May 30, 2024This was an excellent course. Covered some very technical aspects of both derivatives and linear algebra cleanly, and the quizzes made sense.
MANOJ
5.0
Reviewed May 3, 2024Excellent and thorough teaching
Marcos
5.0
Reviewed May 8, 2024Finally something not basic
عبدالرحمن
5.0
Reviewed Mar 9, 2023Thank you very much
Faris
5.0
Reviewed Oct 29, 2022very usefull
Anirudh
5.0
Reviewed Jul 21, 2022great course
Sergio
5.0
Reviewed Jul 7, 2023Nice :)
MOUSTAFA
5.0
Reviewed Nov 16, 2022IS GOOD
Shahd
5.0
Reviewed Oct 29, 2022good
Abdelrhman
5.0
Reviewed Nov 1, 2022n
Ghulam
4.0
Reviewed Nov 20, 2023Good course
Shaurya
3.0
Reviewed Dec 8, 2025A decent course. Lots of mistakes and the last module seems rushed. Got a taste of concepts such as gradient descent, directional vectors, eigenvectors, etc., but didn't feel like the intuition behind these techniques was fleshed out very well.
Hinor
3.0
Reviewed Sep 6, 2023I felt like the the linear algebra in this course was out of place for this course. Should've put it in the linear algebra course.
马镓浚
3.0
Reviewed Oct 1, 2022Too simple and you can finish this course in only a few hours. Definitely not for having a thorough understanding of the topics.
Alvin
5.0
Reviewed Feb 21, 2025Quick last course of the specialization. Great way to freshen up on integrals and partial derivatives, with a short intro of SVD and gradients. Would have liked a deeper intuitive explanation of the uses of SVD but it's okay for a quick overview.
Nurdaulet
5.0
Reviewed Jun 12, 2026I have successfully completed this course. Thank you for the valuable lessons and support.
Kevin
4.0
Reviewed Mar 17, 2025Teaching is good, but should include more practice questions.
Sean
4.0
Reviewed Jan 20, 2025fast paced and minimal but very clear with good teaching