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Going Pro in Data Science
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Going Pro in Data Science
by Jerry Overton
Going Pro in Data Science
1. Introduction
Finding Signals in the Noise
Data Science that Works
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
3. What to Look for in a Data Scientist
A Realistic Skill Set
Realistic Expectations
4. How to Think Like a Data Scientist
Practical Induction
The Logic of Data Science
Treating Data as Evidence
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
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
7. How to Survive in Your Organization
You Need a Network
You Need A Patron
You Need Partners
It’s a Jungle Out There
8. The Road Ahead
Data Science Today
Data Science Tomorrow
Index
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Going Pro in Data Science
Going Pro in Data Science
What It Takes to Succeed as a
Professional Data Scientist
Jerry Overton
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