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學生對 宾夕法尼亚大学 提供的 Fundamentals of Quantitative Modeling 的評價和反饋

4.6
7,475 個評分
1,469 條評論

課程概述

How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization....

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AP
2019年6月15日

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.

NC
2019年7月30日

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.

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1351 - Fundamentals of Quantitative Modeling 的 1375 個評論(共 1,446 個)

創建者 Loti K

2017年2月26日

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

2017年5月11日

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

2017年7月23日

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

2020年9月4日

The instructor is good. Course material is very basic. However, it is not for someone having no knowledge of statistics.

創建者 Frank

2017年3月22日

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

2019年1月28日

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

2020年3月30日

This subject is totally numerical based, There should be more focus on numerical instead of theoretical knowledge.

創建者 Zack Y

2017年10月8日

I felt that there were insufficient examples to help us gain a better understanding of the concepts being taught

創建者 Biryukov V

2020年2月25日

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

2016年2月16日

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

2018年5月10日

Perhaps I was expecting too much given the reputation of the institution, but this is a course for beginners.

創建者 Pedro B

2017年6月17日

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

2021年2月1日

I think this course is too easy for students with Probability and Mathematical Statistics knowledges...

創建者 Yuan Z

2019年3月9日

General description of the modeling, need further work or pre-understandings for some of the contents.

創建者 Johnny V

2016年7月10日

Felt a little rudimentary until the last week. I hope the specialization picks up after this point.

創建者 Michael S

2017年12月6日

Not enough about formulas or real world application. Was hoping to see examples applied in Excel.

創建者 Sidney A

2016年5月8日

Nice primer for modeling, but wish there were more workable problems to help hit the point home.

創建者 Bharat J

2020年6月20日

Too descriptive for a quantitative course. Would've preferred more problem solving exercises.

創建者 Eike A H

2019年9月9日

-no explanation on errors

-too theoretical and abstract with lack of examples and own practice

創建者 Siva S B

2018年3月26日

Could have been more advanced from the perspective of practical use-cases of data modeling.

創建者 jyoti v

2018年10月23日

The course is a bit too introductory for me. I'm looking for more challenging material.

創建者 Kangkang W

2016年10月17日

most contents are explicit on ppt, it is sometimes not necessary to view the lectures.

創建者 Josh R

2020年5月17日

Lots of information, not much opportunity to apply practical usage to the theories

創建者 martino g

2020年3月30日

Content is good but the teacher is extremely boring. Had to struggle to finish it.

創建者 Paul M

2020年7月7日

My name was spelled incorrectly on my certificate, how to do I correct this?