I am looking for books or online sources on advanced data science. There are plenty of books introducing Python, Numpy, or Scikit-learn. There are also plenty of mathematical treatments like ISLR, ESL, ITILA, and beyond. But I want to learn more about advanced techniques in day-to-day data science. How to do statistical modeling from data. How to attack difficult problems. How to avoid fallacies n.b. Anscombe's quartet. Reading occasional HN comments on these topics made me realize there is so much to learn on these.

Senior data scientists -- what sources have you used?