In this Capstone you will recommend a business strategy based on a data model you’ve constructed. Using a data set designed by Wharton Research Data Services (WRDS), you will implement quantitative models in spreadsheets to identify the best opportunities for success and minimizing risk. Using your newly acquired decision-making skills, you will structure a decision and present this course of action in a professional quality PowerPoint presentation which includes both data and data analysis from your quantitative models.
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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 stars77.50%
- 4 stars12.24%
- 3 stars5.56%
- 2 stars1.55%
- 1 star3.11%
WHARTON BUSINESS AND FINANCIAL MODELING CAPSTONE의 최상위 리뷰
It is a well drafted course that helps in enhancing the knowledge of financial modeling and also prepare in tackling important financial decisions.
Well structured courses and the specialization is amazing. Thank you for giving me the opportunity to complete it.
This context of this capstone was great. I was able to learn about finance and apply the tools that I learned in preceding courses to complete this project successfully.
This was a great opportunity to get practical experience about calculating the optimal risky portfolio as well as understanding the importance of Portfolio Diversification.
Business and Financial Modeling 특화 과정 정보
Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance.
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