Becoming a Data Head — Reading Notes
From my reading desk · Data + critical thinking
Ask better questions. Argue with the data.
My chapter-by-chapter reading notes and reflections on Becoming a Data Head: the questions, warnings, and ideas I want to carry into the work.
These are notes on the book, rather than the book itself.
The reading trail
19 notes, in the order of the original export. Pick a topic or read from the beginning.
- 01 Forward
- 02 Introduction
- 03 Thinking Like a Data Head
- 04 What is the problem
- 05 What is Data
- 06 Prepare to Think Statistically
- 07 Argue with the Data
- 08 Explore the Data
- 09 Examine the Probabilities
- 10 Challenge the Statistics
- 11 Understanding the Data Scientists Toolbox
- 12 Search for Hidden Groups
- 13 Understand the Regression Model
- 14 Understand the Classification Model
- 15 Understand Text Analytics
- 16 Conceptualize Deep Learning
- 17 Watch Out for Pitfalls
- 18 Know the People and Personalities
- 19 What's Next