E-Books →Data Science The Hard Parts Techniques for Excelling at Data Science

Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries.
With this book, you will:
* Understand how data science creates value
* Deliver compelling narratives to sell your data science project
* Build a business case using unit economics principles
* Create new features for a ML model using storytelling
* Learn how to decompose KPIs
* Perform growth decompositions to find root causes for changes in a metric
Daniel Vaughan is head of data at Clip, the leading paytech company in Mexico. He's the author of Analytical Skills for AI and Data Science (O'Reilly).