Going Pro in Data Science: What It Takes to Succeed as a Professional Data Scientist

Strata
Copyright
Table of Contents
Chapter 1. Introduction
	Finding Signals in the Noise
	Data Science that Works
Chapter 2. How to Get a Competitive Advantage Using Data Science
	The Standard Story Line for Getting Value from Data Science
	An Alternative Story Line for Getting Value from Data Science
	The Importance of the Scientific Method
Chapter 3. What to Look for in a Data Scientist
	A Realistic Skill Set
	Realistic Expectations
Chapter 4. How to Think Like a Data Scientist
	Practical Induction
	The Logic of Data Science
	Treating Data as Evidence
Chapter 5. How to Write Code
	The Professional Data Science Programmer
	Think Like a Pro
	Design Like a Pro
	Build Like a Pro
	Learn Like a Pro
Chapter 6. How to Be Agile
	An Example Using the StackOverflow Data Explorer
	Putting the Results into Action
	Lessons Learned from a Minimum Viable Experiment
	Don’t Worry, Be Crappy
Chapter 7. How to Survive in Your Organization
	You Need a Network
	You Need A Patron
	You Need Partners
	It’s a Jungle Out There
Chapter 8. The Road Ahead
	Data Science Today
	Data Science Tomorrow
Index
About the Author