Analytics Book List
Here is the required text book list for the fall of 2022. In addition to these required texts and resources, please review the list below which includes the MSBA faculty’s favorite books on analytics. As you pursue your analytics career this is the list to consult when asking yourself “What should I read next?” Reading all these books will require a considerable amount of time, and it might not be absolutely essential that you eventually read all of them. However, your background in analytics will grow stronger with the number of these books that you do read. Of course, your development depends also on other activities such as learning new methodologies and software tools, so this list should not be pursued to the total exclusion of those activities. We suggest approaching the decision of what to read next by investigating the topic of each book and prioritizing those that interest you most. Happy Reading!!!
Basics of Data, Uncertainty, and Visualization
Signal and the Noise, by Nate Silver, ISBN: 978-0143125082, Penguin Books, 2015.
A Field Guide to Lies and Statistics : A Neuroscientist on How to Make Sense of a Complex World, by Daniel Levitin, ISBN: 978-0241239995, Viking, 2017.
Analytics Overviews
Automate This, by Christopher Steiner, ISBN: 978-1591846529, Portfolio Publishing, 2013.
Algorithms to Live By, by Brian Christian and Tom Griffiths, ISBN: 978-1627790369, Henry Holt and Co., 2016.
Doing Data Science, by Cathy O’Neill and Rachel Schutt, ISBN: 978-1449358655, O'Reilly Media, 2013.
Mining of Massive Datasets, by Jure Leskovec, Anand Rajaraman, and Jeffrey D. Ullman. ISBN: 978-1107077232, Cambridge University Press, 2014 (2nd Edition).
Big Data, Big Analytics: Emerging Business Intelligence and Analytics Trends for Today’s Business, by Michael Minelli, ISBN: 978-1118147603, Wiley, 2013.
Competing on Analytics, by Thomas H. Davenport and Jeanne G. Harris, ISBN: 978-1422103326, Harvard Business Review Press, 2007.
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, by Thomas Davenport, ISBN: 978-1422168165, Harvard Business Review Press, 2014.
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics, by Thomas Davenport and Jinho Kim, ISBN: 978-1422187258, Harvard Business Press, 2013.
Analytics at Work: Smarter Decisions. Better Results, by Thomas Davenport, Jeanne Harris, Robert Morison, ISBN: 978-1422177693, Harvard Business Review Press, 2010.
Booz Allen’s Field Guide: The Field Guide to Data Science, Booz Allen Hamilton, 2nd Edition, http://www.boozallen.com/insights/2015/12/data-science-field-guide-second-edition, 2015.
The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future, by Kevin Kelly, Penguin Books, ISBN: 978-0143110378 (paperback), 978-0525428084 (hardcover).
Effect of Analytics on Employment
Only Humans Need Apply: Winners and Losers in the Age of Smart Machines, by Thomas Davenport and Julia Kirby, ISBN: 978-0062438614, Harper Business, 2016.
Programming and Tools Reference Books
Learning Base R, 2nd Edition. by Lawrence M. Leemis, ISBN: 978-0-9829174-5-9
R in Action, by Robert I. Kabacoff, ISBN: 978-1935182399, Manning Publications, 2011.
Python for Informatics, by Charles Severance, ISBN: 978-1492339243, CreateSpace Independent Publishing Platform, 2013.
Internet and Analytics Ethics
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, by Cathy O'Neil, ISBN-13: 978-0553418811, Crown, 2016.
The Attention Merchants: The Epic Scramble to Get Inside Our Heads, by Tim Wu, ISBN: 978-0385352017 Alfred A. Knopf, 2016.
Visualization
Storytelling with Data: A Data Visualization Guide for Business Professionals, by Cole Nussbaumer Knaflic, ISBN: 978-1119002253, Wiley, 2015.
Now You See It: Simple Visualization Techniques for Quantitative Analysis, by Stephen Few, ISBN: 978-0970601988, Analytics Press, 2009.
A Field Guide to Lies and Statistics : A Neuroscientist on How to Make Sense of a Complex World, by Daniel Levitin, ISBN: 978-0241239995, Viking, 2017.
The Elements of Graphing Data; Revised Edition, by William S. Cleveland, ISBN: 0-9634884-1-4, Hobart Press & AT&T Bell Laboratories, 1994.
The Visual Display of Quantitative Information, by Edward R. Tufte, Graphics Press, 1983.
Sports Analytics
Scorecasting, by Tobias Moskowitz and L Jon Wertheim, ISBN: 978-0307591807, Three Rivers Press, 2012
Moneyball, by Michael Lewis, ISBN: 978-0393324815, W. W. Norton & Company, 2004
Every Shot Counts, by Mark Broadie, ISBN: 978-1592407507, Avery Publishing, 2014
Human Judgement
These books illustrate how human judgment can fail, thus, providing a motivation for more reliable algorithmic approaches to judgment. More importantly, perhaps, this information is fundamental for anybody dealing with decision making as do business analysts.
Thinking, Fast and Slow Paperback, by Daniel Kahneman, ISBN: 978-0374533557, Farrar, Straus and Giroux, 2013
The Undoing Project: A Friendship That Changed Our Minds, by Michael Lewis, ISBN: 978-0393254594, W. W. Norton & Company, 2016
Expert Political Judgment: How Good Is It? How Can We Know?, by Philip E. Tetlock, ISBN: 978-0691128719, Princeton University Press, 2006
Developing Business Acumen
The 10-day MBA: a step-by-step guide to mastering the skills taught in top business schools. Silbiger, Steven. Hachette UK, 2016.
How Business Works, a Graphic Guide. Black, Alexandra. ISBN: 978-1465429797
