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Отзывы учащихся о курсе Fundamentals of Quantitative Modeling от партнера Пенсильванский университет

Оценки: 7,466
Рецензии: 1,469

О курсе

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....

Лучшие рецензии

15 июня 2019 г.

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.

30 июля 2019 г.

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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76–100 из 1,446 отзывов о курсе Fundamentals of Quantitative Modeling

автор: Sinduja

13 февр. 2019 г.

I really enjoyed learning with examples. There were certain aspects of basic modelling which I was unaware of but the specific illustrations and characteristics of the basic modelling techniques really helped me enrich my knowledge.

One thing that stayed with me "All models are wrong but some are useful".

Loved the teaching!!

автор: Godwin S C

8 июля 2018 г.

Very insightful course. Will recommend this for any student. One will need to read the recommended book earlier on in the course the appreciate and understand the course more, especially if your stats and probability is a bit rusty or absent.I enjoyed the examples in the course as well. Very practical and I can relate to them

автор: Federico L

25 нояб. 2020 г.

The course manages to explain complex functions in very straight-forward terms. It is easy to follow and presents the information in such a way that it is rememberable. Personally, I would include more "real-life" examples within the Modules' Questionnaires, as there is very few of them and a lot of theoretical questions.

автор: Ronan H

16 июля 2020 г.

This really is the first course I have seen which truly deals with understanding the intuition behind the fundamentals of quantitative modelling, rather than just giving the math. For someone comfortable with the topics, you may find it's a slow pace. But for someone looking for the core understandings, I would recommend.

автор: Fernando N

13 дек. 2018 г.

As the name of the course states, we went through the fundamentals of quantitative modeling. I come from an Economics background, so the course was not very challenging but the quality of the course is very high and I do see how other people with no background in business/finance/economics could immensely benefit from it.

автор: Nihal D

31 мар. 2018 г.

A great course conducted by a great professor! I would recommend this course to anyone who has an interest in learning about Statistics and the fundamentals of how it's used in modelling. If you have a perpetual fear of math, don't worry, this course is made super simple by the professor and even a Math novice can ace it.

автор: Ritesh G

26 апр. 2021 г.

Introducing the students to statistical analysis, the course Fundamentals of Quantitative Modeling sets a benchmark for quality coursework. I praise the instructor, Richard Waterman, for focusing not only on the mathematical modeling practices but also on the interpretation of business jargon from the real world.

автор: Christopher D

18 нояб. 2018 г.

I would say that this course requires a good understanding of mathematics. This course deals with numerous concepts related to statistics. The teacher does an excellent job of explicating these concepts, yet students may need external resources (i.e., Wikipedia, Youtube, etc.) to aid in the understanding.

автор: Ivan D A G

20 дек. 2018 г.

Gracias por permitirme tomar este curso, ha sido de gran ayuda para complementar mis conocimientos financieros y en especial conocer como se estructuran los modelos financieros desde identificar la data hasta optimizar el modelo/función. Me servirá para trabajar en optimizaciones de procesos de negocio.

автор: Yeyuxi Y

4 окт. 2021 г.

It is a great course for me. As a freshman in college who has very limited knowledge about Modeling and Statistics, I find no challenge to follow the course. The professor explained the concept really well and used very good examples to show the application of different models that in a way shrills me.

автор: Evette T

5 окт. 2018 г.

It was challenging but the tutor's pace of speech was measured (and you can always rewind) and the examples were practical. I can't say I completely understand but I'm definitely starting to think more logically and have more of an understanding of what models to use for different scenarios. Thank you.

автор: Zoe S

13 нояб. 2020 г.

Overall, great course. Love the brief overview of some of the beginner concepts that allow for the development of the more complex. The one negative I found was that I struggled with a few of the math concepts since there was no practice space or example math questions before the quiz.

автор: Xuan W

17 сент. 2018 г.

It is a very helpful class to introduce the basic quantitative theories and terminologies required. The difficulty of the class if perfect for the people who doesn't have any financial background but having some mathematical background will certainly help in understanding this course.

автор: Enrique D

27 дек. 2019 г.

It will be great if there are more examples of applications and a feedback about the resolution of the problems and explanations once you have the certificate and you solve all the doubts and the failed ones. Thanks, it was excellent in general and pretty clear for foreign speakers!

автор: Shubham D

25 окт. 2018 г.

Though elementary , the instructor explains the topics amazingly well.The amount of clarity i gained on taking this course cannot be understated and I would recommend it to everyone even if they know most (if not all) of the base concepts.Also this course works great as a refresher.

автор: Xueyao J

11 апр. 2016 г.

Very informational Course! As it slowly progresses from the easier and more basic concepts, the instructor has help us to build a strong foundation of the topic. Recommended for those who want to review statistics, maths and economics, and very look forward to the further courses!

автор: vidya i

13 янв. 2019 г.

This was a very good learning experience for me, I was able to visualise the need for modeling, linear regression, univariate and multi variate. My only feedback is if the course could more numerical problems or how to arrive at R2/RSME numerically. But otherwise, a great course!

автор: Patrick K

17 февр. 2018 г.

Many thanks for an impressive course delivery! Great use of graphics, examples and spot--on explanations. Dr Waterman breaks down the concepts (which have a rather discouraging sound to them) into little bits which a rookie in maths and statistics like myself can chew and digest.

автор: Sahil K

6 мая 2020 г.

The course was really good. One thing that I would like to highlight is that professor does not interact much on the screen. Could have been a better course had the professor highlighted the graphs through some pointers on the screen as done in other courses provided by Wharton.

автор: Hina M B Z

24 мая 2020 г.

Seriously one of the best courses i have taken online. I had nearly forgotten the least squares method and i finally recalled it. The explanation is amazing, the applications are simple but in-depth conceptual. I wish our Statistics professor in our university taught like this.

автор: Vishnu S K

29 апр. 2020 г.

As a total newbie to modeling, this course has tremendously helped in setting the base for further learning. The syllabus is basic and needs no background, except some very basic calculus to understand the mathematical functions.

I found the course very engaging and helpful.

автор: Andrew A

27 апр. 2020 г.

I loved the course, beautifully explained and tests are awesome. I guess I learned a new skill. Thanks, Coursera and Wharton university for proving this awesome course. I also would like to thank my course master Richard Waterman for his insights and teaching on the subject

автор: Misha A

10 мая 2017 г.

Very well taught course with relevant examples from industry/business. Clear guidelines on the practical usage of the theory being taught.

Hopefully the upcoming courses in the specialization delves deeper into the concepts taught and strengthens the information provided

автор: Max P

8 июня 2016 г.

Professor Waterman presented the material in a clear and concise manner. This course is a great refresher to basic quantitative methods, and does a great job introducing more complex methods as well. Following courses build directly upon this one, so I highly recommend!

автор: Lai K C

29 февр. 2016 г.

The learned instructor Mr Richard Waterman is great in explaining sophisticated mathematical/statistical terms or concepts in simple, concise and easy-to-understand way. Great and useful for mature working professional who are out of touch with mathematics/statistics.