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Data Mining Pipeline
Data Mining Foundations and Practice,
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. Data Mining Pipeline 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 Francesco Ungaro, available here on Unsplash: https://unsplash.com/photos/C89G61oKDDA
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Rating | Not enough ratings |
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Length | 5 weeks |
Effort | about five 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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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Coal Mining $71k
Pipeline 2 $74k
Pipeline Developer $83k
Pipeline Tech $86k
Pipeline Accountant $86k
Supervisor Mining Engineer $87k
Mining Operator $87k
Pipeline Design $92k
Mining Specialist $94k
Pipeline maintenance $99k
Pipeline Foreman $114k
Data Mining $118k
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | about five 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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