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Data Mining Methods
Data Mining Foundations and Practice,
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. Data Mining Methods can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Course logo image courtesy of Lachlan Cormie, available here on Unsplash: https://unsplash.com/photos/jbJp18srifE
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Rating | Not enough ratings |
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Length | 5 weeks |
Effort | six to seven hours a week for four weeks |
Starts | Jun 26 (44 weeks ago) |
Cost | $99 |
From | University of Colorado Boulder via Coursera |
Instructor | Qin (Christine) Lv |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | six to seven hours a week for four weeks |
Starts | Jun 26 (44 weeks ago) |
Cost | $99 |
From | University of Colorado Boulder via Coursera |
Instructor | Qin (Christine) Lv |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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