Chevron Left
Back to Data Mining Pipeline

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

3.1
stars
17 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. 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...
Filter by:

1 - 6 of 6 Reviews for Data Mining Pipeline

By عبدالله ج

Dec 27, 2022

the lectures need to be more in depth and assignments are not explained well

the course need another instructor because she is not well spoken and not fluent enough to teach in english

By Deleted A

Dec 12, 2022

k

By matt t

Mar 9, 2023

This is the most poorly taught and administered course I can remember taking, definitely the worst in recent memory. I'm surprised an instructor that has a rating of 1.33/5 is still asked to teach (or provide content, I guess she doesn't really teach the course, just posts videos created a while ago). The programming assignments that you're graded on throughout the course have very little relevance to the content taught throughout: they're more of an intro to basic analysis & visualization using python & jupyter notebooks. The automated grading rubrics are ABSOLUTELY HORRIBLE they are nowhere near robust enough for what they're designed, especially when you consider the terrible instructions provided for the assignment. For instance, don't use 'iloc' when using python dataframes(!) because the rubric can't handle it. Seriously?! Something that basic caused points deductions!!! I believe every single programming assignment has at least one function you have to write where the expected output per the docstring is a plot - but don't actually do it, can cause errors. These are just two small examples of many - your method for creating lists, how you treat variables, etc. can all cause errors that will result in losing points even if your code does exactly what's expected. After assignment 1 I posted in the forums, not a single reply. If you have to take this course as part of the MS-DS offered by CU I might try to wait and see if someone new teaches it in the future. If you're not going through the CU program definitely don't waste your time/money on this course, there are much better options out there. I'm genuinely shocked at how bad this course is.

By Nathan H

Mar 22, 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.

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

The coverage of material in the course also seems excessively basic and superficial.

The coverage of material in the course also seems rather superficial.

By George B

Jan 1, 2023

Only about 4 hours of lectures, no textbook or supplemental readings of any kind. Assignments had little if anything at all to do with the content of the lectures and much of what was covered in the lectures overlaps with other mandatory courses in the MSDS program. Huge waste of time and money.

By Summer K

Jan 10, 2023

Absolutely terrible course! Do not waste your time/money as I did. The material is scattered, confusing, and delivered in a very hard-to-follow format. The assignments are even worse! I am SO disappointed in my first Coursera course :(