Using Jupyter Notebooks and Python code, we will present several data-driven examples of some simple, powerful, yet relatively uncommon, ways of thinking as a good Data Scientist. We will also warn about a few dangerous ways of thinking to avoid. Our Jupyter Notebooks and slides will be made freely available after the talk.
The first principle is that you must not fool yourself and you are the easiest person to fool. -- Richard Feynman
A scientific mindset is a powerful force for producing knowledge: from academic fields, to business and public policy. The combination of statistical rigor, an experimental mindset and the drive to ask the right questions produces crucial input to decision making.
We will illustrate several principles of scientific thinking that should be more widespread. Each principle will be demonstrated with a specific example that will help it stick with the audience after they leave.
A few key principles, attitudes, and techniques for Data Science:
Mindsets to avoid: