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Learner Reviews & Feedback for Integral Calculus and Numerical Analysis for Data Science by University of Colorado Boulder

4.6
stars
41 ratings

About the Course

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...
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1 - 9 of 9 Reviews for Integral Calculus and Numerical Analysis for Data Science

By Nb

Oct 6, 2022

One of the best lectures I have attended in the applied mathematics related to numerical analysis in optimization and data science. Although the teaching approach is simple, it is assumed that the candidate student wants just to focus or clarify specific mathematical questions in a more advanced perspective later. More abstraction exists in other mathematical courses. Here it is a fast and exact discussion on several topics for specific target. Perfect job!

By Faris A

Oct 29, 2022

very usefull

By Anirudh M

Jul 21, 2022

great course

By MOUSTAFA G A I

Nov 16, 2022

IS GOOD

By Shahd M

Oct 29, 2022

good

By Abdelrhman M

Nov 1, 2022

n

By 马镓浚

Oct 1, 2022

Too simple and you can finish this course in only a few hours. Definitely not for having a thorough understanding of the topics.

By Cor v H

May 4, 2022

Quizes are flawed, i.e. software doesn't recognize the right answers.