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Opiniones y comentarios de aprendices correspondientes a Data Mining Pipeline por parte de Universidad de Colorado en Boulder

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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 Course logo image courtesy of Francesco Ungaro, available here on Unsplash:
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1 - 1 de 1 revisiones para Data Mining Pipeline

por Nathan H

22 de mar. de 2022

I​'m enrolled in the not-for-credit version of the course.

I asked about a programming assignment that looks defective in the "urgent help" discussion forum a month ago, and still haven't seen a response. So, I'm not entirely sure whether the course is defective or not, but it's pretty silly to put up an "urgent help" forum and then ignore it.

T​his course has required programming assignments that only give a score as feedback, and that seem to be unclear, incomplete, incorrect or misleading.

T​he coverage of material in the course also seems excessively basic and superficial.

T​he coverage of material in the course also seems rather superficial.