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.
ペンシルベニア大学（University of Pennsylvania）
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
- 5 stars71.91%
- 4 stars22.30%
- 3 stars4.50%
- 2 stars0.76%
- 1 star0.51%
FUNDAMENTALS OF QUANTITATIVE MODELING からの人気レビュー
I found this course a great value add to my skillset. Not only did it help me understand the basics of Quantitative Modeling but it also helped me to revise my statistical concepts very well.
Great course to brush up my knowledge on statistics and modeling. It would be nice to have an additional block that walks you through some basics on how to work with the models presented in Excel etc.
for the beginer like me i have experience in banking of 8 years still for me this fundamentals are new specially quantitative modelling.Kindly provide banking related examples in here too.
I've really think this course has helped me laying the foundations to approach building models that emulates reality. The content is well explained and the professor makes it simple yet important.