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.
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 stars71.94%
- 4 stars22.26%
- 3 stars4.55%
- 2 stars0.75%
- 1 star0.47%
来自FUNDAMENTALS OF QUANTITATIVE MODELING的热门评论
This is a good course for all of them who wish to work in this field and are unable to do so because of lack of core knowledge. The course helps to build this fundamental conceptual knowledge.
It is structured in a logical way with clear explanations into different types of quantitative models. Basic knowledge and easy to understand. The quiz is helpful to consolidate understanding.
Course was very interesting, However I wish there were easier ways to explain to details also the instruction , I would recommend to grab the students attention more to make it more understandable.
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.