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This course will teach you how to manage a startup鈥檚 financing strategy, where you will learn how to build capitalization tables (or 鈥渃ap tables鈥�) in Excel. Cap tables will help you explore different financing strategies for your startup company and determine which financing decisions are best for your entrepreneurial venture. You will also learn about innovations in the digital space that allow new ways to finance entrepreneurial ventures. These include different forms of crowdfunding, and alternative credit scoring mechanisms based on web-based data.

This course concludes with a module featuring cutting edge research from Duke University鈥檚 Fuqua School of Business on the financial technology industry. In this module, you will learn how financial technology companies are disrupting the credit scoring industry by developing new methods for credit scoring using consumers鈥� digital footprints. In addition, you will explore how financial technology platforms have introduced new, experimental forms of financing, such as crowdfunding.

Blockchain is an emerging and highly disruptive technology that is poorly understood. In this course you will learn what blockchain is and how it can create value by tokenization in cryptocurrencies and in many other practical applications. The applications include: stablecoins (like Facebook鈥檚 Libra and JP Morgan鈥檚 JPMCoin), machine to machine payments, identity protection, supply chain management (Walmart, Maersk, IBM), secure voting, distributed exchanges, decentralized finance, property transfers, central bank fiat crypto (e.g., Fedcoin and China鈥檚 digital Renminbi), dispensing prescription drugs, private records, intellectual property, financial reporting, and media and advertising, to name a few. The goals of the course are to: (i) provide an advanced understanding of the various blockchain technologies; (ii) determine the specific business situations where blockchain technology can be deployed to solve important problems; (iii) select the specific blockchain technology that has the best chance of success for a particular problem; and (iv) detail the risks presented by this new technology.

This course teaches you how to calculate the return of a portfolio of securities as well as quantify the market risk of that portfolio, an important skill for financial market analysts in banks, hedge funds, insurance companies, and other financial services and investment firms. Using the R programming language with Microsoft Open R and RStudio, you will use the two main tools for calculating the market risk of stock portfolios: Value-at-Risk (VaR) and Expected Shortfall (ES). You will need a beginner-level understanding of R programming to complete the assignments of this course.