學生對 宾夕法尼亚大学 提供的 Fundamentals of Quantitative Modeling 的評價和反饋
課程概述
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Very clear and articulate explanation of the concepts. He doesn't skip a step in the sequencing ideas, drawing comparisons and differences, and illustrating both visually and story-telling. Excellent.
Very nice course for beginner, the mathematic level is not high (around french baccalaureat) so available to everyone. I enjoyed a lot this course that show how simple math can be used in real life.
1351 - Fundamentals of Quantitative Modeling 的 1375 個評論（共 1,446 個）
創建者 Loti K
•I was expecting the course to provide insight on how to use spread sheet and its respective formulae in mathematical modelling.
創建者 Ali A
•Well put together, however, if you have had a reasonable high school math education, most of the content will be known to you.
創建者 Chad F
•It would have been much more helpful to have practice opportunities besides the exam and exampled. I wanted to try it myself!
創建者 Pratik M
•The instructor is good. Course material is very basic. However, it is not for someone having no knowledge of statistics.
創建者 Frank
•As a guy from Machine Learning field, its models and concepts are so easy and simple for me, so it's lack of challenge.
創建者 Yoann D
•More concrete exercises would have helped to anchor some principles. This was mostly a succession of videos and a quiz
創建者 Nilesh K S
•This subject is totally numerical based, There should be more focus on numerical instead of theoretical knowledge.
創建者 Zack Y
•I felt that there were insufficient examples to help us gain a better understanding of the concepts being taught
創建者 Biryukov V
•Many of the fundamentals are not explained. For example in Week 4 it is not explained how to calculate R2 or r
創建者 Prannoy K
•Assignments should be evaluated for all users (unpaid ones as well) like it is done for other Wharton courses.
創建者 Charles C W
•Perhaps I was expecting too much given the reputation of the institution, but this is a course for beginners.
創建者 Pedro B
•Could come a bit deeper in more complex examples at the end of the course. Most of them were too simple.
創建者 dianthera
•I think this course is too easy for students with Probability and Mathematical Statistics knowledges...
創建者 Yuan Z
•General description of the modeling, need further work or pre-understandings for some of the contents.
創建者 Johnny V
•Felt a little rudimentary until the last week. I hope the specialization picks up after this point.
創建者 Michael S
•Not enough about formulas or real world application. Was hoping to see examples applied in Excel.
創建者 Sidney A
•Nice primer for modeling, but wish there were more workable problems to help hit the point home.
創建者 Bharat J
•Too descriptive for a quantitative course. Would've preferred more problem solving exercises.
創建者 Eike A H
•-no explanation on errors
-too theoretical and abstract with lack of examples and own practice
創建者 Siva S B
•Could have been more advanced from the perspective of practical use-cases of data modeling.
創建者 jyoti v
•The course is a bit too introductory for me. I'm looking for more challenging material.
創建者 Kangkang W
•most contents are explicit on ppt, it is sometimes not necessary to view the lectures.
創建者 Josh R
•Lots of information, not much opportunity to apply practical usage to the theories
創建者 martino g
•Content is good but the teacher is extremely boring. Had to struggle to finish it.
創建者 Paul M
•My name was spelled incorrectly on my certificate, how to do I correct this?
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