Materiały do rozdziału 9.

Podcasty (dotyczą one różnych zagadnień z zakresu analityki i danologii, a niekoniecznie samego SQL-a):
* Analytics Power Hour: https://analyticshour.io/
* Data Bytes by Women in Data: https://anchor.fm/women-in-data
* DataFramed: https://www.datacamp.com/community/podcast
* Data Skeptic: https://dataskeptic.com/
* Klaviyo Data Science Podcast: https://medium.com/klaviyo-data-science/tagged/podcast
* TWIML: https://twimlai.com/shows/
* Women in Data Science: https://www.widsconference.org/podcast.html
* You are Not So Smart: https://youarenotsosmart.com/podcast/

Newslettery poświęcone danym:
* Data Elixir: https://dataelixir.com/

Książki nietechniczne (
* How to Measure Anything: Finding the Value of "Intangibles" in Business, autor Douglas Hubbard
* Thinking, Fast and Slow, autor Daniel Kahneman
* Mastermind: How to Think Like Sherlock Holmes, autorka Maria Konnikova
* The Black Swan: The Impact of the Highly Improbable, autor Nassim Nicholas Taleb
* Brain Rules: 12 Principles for Surviving and Thriving at Work, Home, and School
