Chevron Left
Back to Data Mining Methods

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

3.9
stars
17 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...
Filter by:

1 - 3 of 3 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 KADAPA L S

Sep 30, 2023

very useful course

By Martina R

Jul 9, 2021

Long lectures and poor explanations.