Wharton Business and Financial Modeling Capstone

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课程简介

University of Pennsylvania

课程大纲

Welcome! This opening module was designed to give you an overview of the Business and Financial Modeling Capstone, in which you will be working with historical financial data to calculate individual returns and summary statistics on those returns. The project has multiple steps, which are outlined below in the "Project Prompt", and culminates in a recommendation for portfolio allocation that you will prepare a presentation on. You will draw on elements from all courses to complete this project, and you can use your final presentation as a work sample to improve your current job or even find a new one. Before moving on, complete the "Project Scope Quiz." The work you do this week enables you to understand the steps needed to successfully complete your final project.

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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. Wharton Research Data Services (WRDS) is the leading data research platform and business intelligence tool for over 30,000 corporate, academic, government and nonprofit clients in 33 countries. WRDS provides the user with one location to access over 200 terabytes of data across multiple disciplines including Accounting, Banking, Economics, ESG, Finance, Insurance, Marketing, and Statistics.

沃顿商学院商业和财务建模的基石:在此基石中,您将根据您构建的数据模型推荐业务策略。使用沃顿商学院研究数据服务(WRDS)设计的数据集,您将在电子表格中实施定量模型,以识别成功的最佳机会并最大程度地降低风险。使用您新获得的决策技能,您将制定决策并以专业质量的PowerPoint演示文稿介绍此操作过程,其中包括定量模型中的数据和数据分析。 沃顿商学院研究数据服务(WRDS)是领先的数据研究平台和商业智能工具,为33个国家/地区的30,000多家公司,学术机构,政府和非营利客户提供服务。 WRDS为用户提供了一个位置,可以跨多个学科(包括会计,银行,经济学,ESG,金融,保险,市场营销和统计)访问200 TB的数据。

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