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Bewertung und Feedback des Lernenden für Fundamentals of Quantitative Modeling von University of Pennsylvania

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7,872 Bewertungen
1,520 Bewertungen

Über den Kurs

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....

Top-Bewertungen

AP

15. Juni 2019

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

30. Juli 2019

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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1426 - 1450 von 1,499 Bewertungen für Fundamentals of Quantitative Modeling

von Mathew L

27. Apr. 2016

I would have liked the quizzes to explain why an answer was right or wrong.

von Brendan C

22. Mai 2018

good course, quizzes should not be locked though...disappointed with that.

von Deleted A

19. Feb. 2018

I think the contents of this course can be more difficult and challenging.

von Michelle l G

9. Feb. 2017

It was an interesting module, however, not sure how I will apply this in

von Gary V

11. Juli 2017

Very basic things that any person with a stats background should know

von Alec E

23. Juli 2020

Not that enjoyable. Decent information but pretty boring to watch.

von Abhed M

12. Jan. 2020

It should be more rigorous. I completed this course in three days.

von Chalal S

8. Okt. 2021

The explaining is good, but the concepts in the course are basic.

von Dominique B

8. Apr. 2020

a bit too simple, I would have expected more practical excersises

von TheSovereignIndividual

13. Apr. 2020

Nice, course - could spend more time on practice and examples.

von Anup K D

2. Mai 2021

Need more examples. Logarithmic Regression was not very clear

von Olivia X

18. Sep. 2016

too easy. not enough practical skills or tools teaching

von Abhishek P

9. Feb. 2017

There should be lab or hands one calculation exercise.

von Steeve V

3. Feb. 2017

It was theoretical but provided an apt understanding.

von Aeshvry R

18. Feb. 2022

Was little difficult and had non engaging lectures

von Roma

31. März 2018

Questions with actual raw data would be helpful.

von Craig K

6. Mai 2017

More reading about theory than actual doing.

von Daguo X

18. Apr. 2017

Too fundamental, too easy. No depth in math

von Chitralekha S G

28. Juni 2021

The course could have been more analytical

von Ardavan S

12. Apr. 2020

I already knew most of the topics taught.

von RADHIKA W

8. Apr. 2020

Could have added more about monte carlo

von Manabu W

6. März 2016

please improve hand-out for self study.

von Lokesh M

13. Juli 2020

Good and nice Analysis of each model

von komal s

23. März 2021

It should have been more practical.