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Learner Reviews & Feedback for Data Mining Methods by University of Colorado Boulder

4.4
stars
67 ratings

About the Course

This course covers the core techniques used in data mining, including frequent pattern analysis, classification, clustering, outlier analysis, as well as mining complex data and research frontiers in the data mining field. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image courtesy of Lachlan Cormie, available here on Unsplash: https://unsplash.com/photos/jbJp18srifE...
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1 - 20 of 20 Reviews for Data Mining Methods

By Xiaowen X

•

Jun 19, 2023

Overall this is a very practical course. One complain is that for the programming assignment, the python version in the Jupyter notebook is not the latest one. That would cause a waste of time in debugging since it does not support some codes and you could not figure out the cause of the failure from the auto grading.

By Derek A K

•

Oct 22, 2024

extensive overview of data mining methods.

By B R A

•

Nov 15, 2024

Informative course

By G S R

•

Sep 16, 2024

good im satisfied

By T. J

•

Jul 23, 2025

very helpful

By Yalla J K T

•

Apr 1, 2025

ZHGu yur

By Silla S R

•

Apr 1, 2025

g hjb

By Shiny f R

•

Aug 25, 2025

good

By Tran M T

•

Aug 8, 2025

good

By Trung N Đ

•

Aug 7, 2025

good

By MADDULA S

•

Apr 5, 2025

good

By ADARSH C

•

Nov 20, 2024

....

By K M M C

•

Nov 19, 2024

Nice

By GUDIME N

•

Oct 23, 2024

good

By Reddy D

•

Sep 10, 2024

Good

By KADAPA L S

•

Sep 30, 2023

very useful course

By M S S C K

•

Apr 2, 2025

GOOD

By Le M N

•

Aug 10, 2025

ok

By Martina R

•

Jul 9, 2021

Long lectures and poor explanations.

By Red R 2

•

Jul 8, 2024

Grader issue