Chevron Left
Voltar para Data Mining Pipeline

Comentários e feedback de alunos de Data Mining Pipeline da instituição Universidade do Colorado em Boulder

Sobre o curso

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...
Filtrar por:

1 — 5 de 5 Avaliações para o Data Mining Pipeline

por عبدالله ج

27 de dez de 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

por Deleted A

12 de dez de 2022

k

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.

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.

por George B

1 de jan de 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.

por Summer K

10 de jan de 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 :(