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Learner Reviews & Feedback for Data Mining Pipeline by University of Colorado Boulder
112 ratings
About the Course
This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications.
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 Francesco Ungaro, available here on Unsplash: https://unsplash.com/photos/C89G61oKDDA
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26 - 27 of 27 Reviews for Data Mining Pipeline
By Nguyễn S H
•Feb 15, 2026
Peer reviewed assignments are worthless for the most part. It'd better if instructor's voice could be softer and more smoothing
By Shrouq M
•Oct 9, 2025
assignments pased on programming so if you are not expert in Paython , you will never get a certificate