RW
love the progression from "key" basics and hands on problems

This specialization is intended for students who wish to use machine language to analyze and predict product usage and other similar tasks. There is no specific prerequisite but some general knowledge of supply chain will be helpful, as well as general statistics and calculus.

RW
love the progression from "key" basics and hands on problems
IA
Good. Improvement in UI interface and lab should be improved
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The projects has been very relevant to supply chain application. However, overall I felt that the course was not well-organized.
From a learner's perspective, I found that there are a lot of small errors in the course quizzes and materials. For instance, there are several questions (in different quizzes) where none of the multiple choice options is correct to answer the question.
As well, I feel there there are at times huge leaps in materials and lack of organization in material. There are also a few very short videos for each topic that flies through the materials, but a lot of readings (marked as 10 minutes) to external sources/ Python documentation. I fully expect to do readings but I do feel I benefited more from Googling YouTube videos from the same subject matter for a more in-depth walkthrough and explaination.
Lastly, there was very little support provided by the instructor team. There are discussion forums where students were supposed to post their questions. However, the forums are unmonitored and questions are not answered (there were student questions from 2 months ago that did not have any response).
there is something wrong in week 4 the last assignment it never give me full mark no matter what i check on it and never knew what was the problem.
it would be appreciated if the issue were solved .
This course can improve a lot. The code is missing some best practices. There are rather big gaps in the theory. No as good as I thought.
Good. Improvement in UI interface and lab should be improved
love the progression from "key" basics and hands on problems
Good introduction
does not explain pulp enough