Putting the Science into Data Science...

The 9 Pitfalls of Data Science

1. Using Bad Data

​2. Putting Data Before Theory

3. Worshiping Math

4. Worshiping Computers

5. Torturing Data

6. Fooling Yourself

​7. Confusing Correlation with

    Causation

8. Being Surprised by

    Regression Toward the Mean

9. Doing Harm