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.
About this Course
Skills you will gain
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 stars71.92%
- 4 stars22.32%
- 3 stars4.48%
- 2 stars0.76%
- 1 star0.50%
TOP REVIEWS FROM FUNDAMENTALS OF QUANTITATIVE MODELING
The material is very helpful to get you up to speed quickly. If there could be more emphasis on walking one through the calculations and giving more examples, the course would be a perfect 5 stars.
The Course was easy to understand and pretty demonstrative as well. Although if the mathematics behind the equations derived were squeezed into the course briefly, it would have been of great value.
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.
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.
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