Books

This is a list of books that I think are particularly great. It is here in support of my book on data science, Telling Stories with Data.

• Agassi, Andre, 2009, Open
• Cramer, Richard Ben, 1992, What It Takes: The Way to the White House
• DeWitt, Helen, 2000, The Last Samurai
• Gelman, Andrew and Jennifer Hill, 2007, Data Analysis Using Regression and Multilevel Hierarchical Models
• Halberstam, David, 1972, The Best and the Brightest
• Ignatieff, Michael, 2013, Fire and Ashes: Success and Failure in Politics
• Lewis, Michael, 1989, Liar's Poker
• McElreath, Richard, 2020, Statistical Rethinking
• Petzold, Charles, 1999, Code: The Hidden Language of Computer Hardware and Software
• Pitman, Jim, 1987, Probability
• Price A, David, 2008, The Pixar Touch
• Rhodes, Richard, 1986, The Making of the Atomic Bomb
• Vanhoenacker, Mark, 2015, Skyfaring
• Vaughan, Diane, 1996, The Challenger Launch Decision
• Waldrop, Mitchell M, 2001, The Dream Machine
• Waugh, Evelyn, 1945, Brideshead Revisited
• Wickham, Hadley, and Grolemund, Garrett, 2017, R for Data Science
• Witten, Daniela, Gareth James, Robert Tibshirani, and Trevor Hastie, 2013, Introduction to Statistical Learning
• Yanighara, Hanya, 2015, A Little Life

If you have recommendations, then please get in touch.