The Data Science Playbook for Private Equity and Venture Capital
The Data Science Playbook for Private Equity and Venture Capital
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 44m | 76.2 MB
Instructor: Howard Friedman
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 44m | 76.2 MB
Instructor: Howard Friedman
Over the last few years, the field of data science has made rapid advances and spawned radical new shifts in how everyday business is designed to function. This course covers many of the key considerations for systematically using data science to drive growth in private equity and venture capital firms.
Join data scientist and Columbia University professor Howard Friedman for an overview of the data science lifecycle, specifically, how it plays out in finance from exploration and due diligence to post-acquisition value creation. Learn about the steps a private equity and venture capital firm can take to start leveraging data science across their portfolios by creating a data science playbook. By the end of this course, you’ll be equipped with new skills to identify key opportunities for data science within a portfolio and recognize when and how to apply data science methods to gather insights from specific companies.
The Data Science Playbook for Private Equity and Venture Capital
