Zurück zu Fundamentals of Quantitative Modeling

4.6

Sterne

6,315 Bewertungen

•

1,256 Bewertungen

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....

Jun 16, 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.

Jul 31, 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.

Filtern nach:

von Anna D

•Feb 27, 2017

This is a quick run-through different types of distributions. I found it useful as a recap of things I learned in high school (!) and there were some additional insights. However, I think this course might be hard if you never did any more advanced (high school) math.

von Chetan D

•Nov 25, 2019

Good Course but the lecturer misses a lot of details and assumes the target students understand most of the basic math such as logarithms. Without further researching those concepts, the equations are a bit difficult to understand and interpret in a practical way.

von Suraj V

•Oct 16, 2016

I believe this was a very good course for beginners. However, from Wharton, I would have expected more realistic examples. I would have also liked some hands-on assignments. But, otherwise.. Great, great course from a beginners point-of-view! Thank you so much!

von Thanos V

•May 04, 2020

The performance of the teacher was excellent, he is very communicative and you could watch him teach for hours, the reading material though should be more helpful, more available sources for further reading and any book chapters or hall books would be ideal

von Jose H

•Nov 12, 2017

It would have been nice to have some of the back work for some of the numbers provided in the RMSE, or R squared numbers. To better understand how those were calculated... instead of just taking someone's word for it.

von Himanshu G

•May 15, 2020

The course covers a variety of concepts regarding the quantitative modelling which is good, but the description is very shallow. It would have been even better had it described concepts in more detail.

von Abhishek J

•May 30, 2020

I found this course a beginner level plus as it's one of the modules of Business and financial modelling I prefer to have some practical education in this module to how to use these in a spreadsheet.

von Daniyal A

•Aug 19, 2017

Very basic stuff, not sure if it really helped me learn new things, just a bunch of terminology. Very well explain, perhaps I didn't fit the target audience (then again I'm just a student right now).

von Corentin R

•Jun 13, 2020

Maths level required is really low while in the mean time explaining technical aspect but not digging in. Explanation are sometimes not enough to understand what the calculation steps really are.

von Stefan M

•Mar 01, 2017

Course is helpful as a refresher to econ and business students who took some statistics in college. Someone who has never taken such courses will probably find this course much less helpful.

von Paolo X M M

•Dec 16, 2019

A good course, but I had to use a lot of outside resources to wrap my head around the math. This course requires substantially more mathematical knowledge to move forward than it suggests.

von Nitay P H

•Nov 30, 2017

the questions, even though the niveau is quite low but you don't really get any great insight and may be wrong if you didn't hear or read a word., Even though you've understood it.

von Luis M M d S

•Apr 29, 2018

Useful Fundamentals, basic but helped to refresh college contents.

Coherent exams.

Could go deeper on the mathematical concepts and examples for better understanding.

von Dario R J d S

•Apr 27, 2020

It would be great to give student a list of exercises to practice before the quizzes. It will help understand the content (specially the calculations) better.

von Alejandro E S R

•Jan 15, 2020

More exercises after each concept, and more specifically non-similar to the example exercises might be very helpful in cementing the concept

von Aditya A M

•Feb 01, 2020

The Explanation was a little too technical for me. Also I wasn't satisfied with the examples. Other than that, everything was solid.

von A D S F J

•May 06, 2020

Really helpful in understanding the different models but if you wish to learn a bit more depth of modelling go to the next course.

von Raghavendra P

•Apr 15, 2020

Introduction to various topics is good but I would want to see many more examples where they are applied in real world scenarios

von Guilherme R d O N

•Oct 17, 2018

It could've gone deeper into the topic. Although it's called Fundamentals of quantitative modeling it don't got to be to basic.

von Jaison M W R

•May 10, 2017

This Course is very good for beginners who have absolutely no knowledge of Modelling. For Professionals, it is not of much use.

von Loti K

•Feb 26, 2017

I was expecting the course to provide insight on how to use spread sheet and its respective formulae in mathematical modelling.

von Ali A

•May 11, 2017

Well put together, however, if you have had a reasonable high school math education, most of the content will be known to you.

von Chad F

•Jul 24, 2017

It would have been much more helpful to have practice opportunities besides the exam and exampled. I wanted to try it myself!

von Frank

•Mar 22, 2017

As a guy from Machine Learning field, its models and concepts are so easy and simple for me, so it's lack of challenge.

- KI für alle
- Vorstellung von TensorFlow
- Neuronale Netzwerke und Deep Learning
- Algorithmen, Teil 1
- Algorithmen, Teil 2
- Maschinelles Lernen
- Maschinelles Lernen mit Python
- Maschinelles Lernen mittels Sas Viya
- R-Programmierung
- Einführung in die Programmierung mit Matlab
- Datenanalyse mit Python
- AWS-Grundlagen: Mit der Cloud vertraut werden
- Grundlagen der Google Cloud-Plattform
- Engineering für Site-Funktionssicherheit
- Englisch im Berufsleben
- Die Wissenschaft des Wohlbefindens
- Lernen lernen
- Finanzmärkte
- Hypothesenüberprüfung im öffentlichen Gesundheitswesen
- Grundlagen für Führungsstärke im Alltag

- Deep Learning
- Python für alle
- Data Science
- Angewandte Datenwissenschaft mit Python
- Geschäftsgründungen
- Architektur mit der Google Cloud-Plattform
- Datenengineering in der Google Cloud-Plattform
- Von Excel bis MySQL
- Erweiterte maschinelles Lernen
- Mathematik für maschinelles Lernen
- Selbstfahrende Autos
- Blockchain-Revolution für das Unternehmen
- Unternehmensanalytik
- Excel-Kenntnisse für Beruf
- Digitales Marketing
- Statistische Analyse mit R im öffentlichen Gesundheitswesen
- Grundlagen der Immunologie
- Anatomie
- Innovationsmanagement und Design Thinking
- Grundlagen positiver Psychologie