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.
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.
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- 4 stars12.16%
- 3 stars5.63%
- 2 stars1.57%
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来自WHARTON BUSINESS AND FINANCIAL MODELING CAPSTONE的热门评论
This was a great opportunity to get practical experience about calculating the optimal risky portfolio as well as understanding the importance of Portfolio Diversification.
Really a great set of courses to understand and apply models to many different scenarios. I was able to use the skills I learned right away in my profession. Would definitely recommend.
I learned how to asses and analyze investment portfolios
Good course that helps understand different considerations to take into account when creating models. Well laid out Capstone project to help understand portfolio diversification and Optimal Portfolio.
关于 商业与金融建模 专项课程
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.