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.
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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%
FUNDAMENTALS OF QUANTITATIVE MODELING의 최상위 리뷰
The explanations were lucid and to the point.Much of the emphasis was laid on conceptual clarity rather than solving mechanically the equations. A good course to build intuitive understanding.
This is an excellent overview. In my opinion it is suitable to people who have studied the concepts before (maybe a long time back in college) and need a refresher before diving into details.
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.
excellent course teaches you basics in an easy to learn manner. Lots of good information for someone looking to transition into the world of financial analytics or as a refresher of basic concepts.
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