All Books Mentioned on SuperDataScience.com Podcast

Updated: 01/16/2017
# Book Title Number of shows mentioned on SuperDataScience.com podcast % of SuperDataScience.com Podcast shows mentioned Read by Jorge Garifuna? (3 of 60 [5.00%] )
1Northwest Arkansas Tableau User Group (Facebook)1 of 195.26%No
2Northwest Arkansas Tableau User Group  (Tableau)1 of 195.26%No
3The Power of Habit: Why We Do What We Do in Life and Business by Charles Duhigg1 of 195.26%No
4LinkedIn Article: Will Healthcare play nice with data science?1 of 195.26%No
5https://www.kaggle.com/ (Kaggle)1 of 195.26%No
6LinkedIn Article: How to Explain Data Science to Someone Non-technical1 of 195.26%No
7Show Me The Numbers: Designing Tables and Graphs to Enlighten by Stephen Few 1 of 195.26%No
8Introducing Microsoft Power BI by Alberto Ferrari and Marco Russo1 of 195.26%No
9Freakonomics: A Rogue Economist Explores the Hidden Side of Everything” Steven D. Levitt and Stephen J. Dubner1 of 195.26%No
10Bold: How to Go Big, Create Wealth and Impact the World by Peter H. Diamandis  and Steven Kotler1 of 195.26%No
11The Invisible Gorilla: How Our Intuitions Deceive Us by Christopher Chabris and Daniel Simons1 of 195.26%No
12The Signal and the Noise: Why So Many Predictions Fail–but Some Don’t by Nate Silver1 of 195.26%No
13The Logic of Failure: Recognizing and Avoiding Error in Complex Situations by Dietrich Dorner1 of 195.26%No
14Dataclysm: Love, Sex, Race, and Identity–What Our Online Lives Tell Us about Our Offline Selves by Christian Rudder1 of 195.26%No
15The Grammar of Science by Karl Pearson1 of 195.26%No
16I Will Teach You To Be Rich by Ramit Sethi1 of 195.26%No
17Data Preparation for Data Mining by Dorian Pyle1 of 195.26%No
18PostgreSQL 9.0 High Performance by Gregory Smith1 of 195.26%No
19The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists by Carl Shan, William Chen, Henry Wang and Max Song1 of 195.26%No
20R for Data Science by Garrett Grolemund and Hadley Wickham1 of 195.26%No
21The Power of Habit: Why We Do What We Do, and How to Change by Charles Duhigg1 of 195.26%Yes
22Advanced R by Hadley Wickham1 of 195.26%No
23Doing Data Science: Straight Talk from the Frontline by Cathy O’Neil and Rachel Schutt1 of 195.26%No
24How To Win Friends and Influence People by Dale Carnegie1 of 195.26%Yes
25The Obstacle Is the Way: The Timeless Art of Turning Trials into Triumph by Ryan Holiday1 of 195.26%No
26Innumeracy: Mathematical Illiteracy and Its Consequences by John Allen Paulos1 of 195.26%No
27Ego is the Enemy by Ryan Holiday1 of 195.26%No
28http://www.intrinsicallydeep.com1 of 195.26%No
29http://waitbutwhy.com1 of 195.26%No
30Emotional Intelligence: Why It Can Matter More Than IQ by Daniel Goleman1 of 195.26%No
31The Future of the Mind: The Scientific Quest to Understand, Enhance, and Empower the Mind by Michio Kaku1 of 195.26%No
32Visual explanations from Setosa.io1 of 195.26%No
33Facebook insights blog1 of 195.26%No
34The Signal and the Noise by Nate Silver1 of 195.26%No
35Elements of Statistical Learning by Trevor Hastie et al.1 of 195.26%No
36How Brands Grow by Byron Sharp1 of 195.26%No
37The Visual Display of Quantitative Information by Edward Tufte1 of 195.26%No
38Machine Learning A-Z Course1 of 195.26%No
39Data Science From Scratch With Python by Joel Grus1 of 195.26%No
40My Courses On Udemy1 of 195.26%No
41Statistical Modeling: The Two Cultures by Leo Breiman1 of 195.26%No
42Ex Machina (must see!)1 of 195.26%No
43Top 10 Skills You Will Need In 20201 of 195.26%No
44Data Science For Business by Foster Provost & Tom Fawcett1 of 195.26%No
45Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger and Kenneth Cukier1 of 195.26%No
46Moneyball: The Art of Winning an Unfair Game by Michael Lewis1 of 195.26%No
47http://runthemodel.com/ Sample Models – Check It Out!1 of 195.26%No
48http://www.anylogic.com/ Anylogic Simulation Software1 of 195.26%No
49Bold: How to Go Big, Create Wealth and Impact the World by Peter H. Diamandis and Steven Kotler1 of 195.26%No
50Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett1 of 195.26%No
51https://www.coursera.org/learn/r-programming (John Hopkins Coursera course on R programming)1 of 195.26%No
52Geoffrey Hinton on Machine Learning1 of 195.26%No
53Categorical Data Analysis by Alan Agresti1 of 195.26%No
54Statistical Models: Theory and Practice by David A. Freedman1 of 195.26%No
55How Life Imitates Chess by Garry Kasparov1 of 195.26%No
56Moneyball (Movie)1 of 195.26%No
57The Effective Executive by Peter Drucker1 of 195.26%Yes
58http://www.modeloff.com/ Financial Modeling Competitions1 of 195.26%No
59http://www.spreadsheetdetective.com/ Excel Add-on to Audit Formulas1 of 195.26%No
60The Signal and the Noise by Nate Silver1 of 195.26%No