The Data Mine’s Bookshelf
| This page is still under construction. For now, you might find short hand names of the books. We are working on listing all the Purdue library links here. If you look up any of these books on Purdue’s library (which anyone can do, even non Purdue students) you will almost certainly find the book. |
While most of these books are scattered throughout the Starter Guides on their respective topics, they are also listed here under their approximate content domain. All of these books come highly recommended. For Purdue students, most if not all of these books are free at the Purdue library link; for non-Purdue students, a good chunk of them should be free.
General
Data Analysis
Visualization
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Maps for advocacy
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Seeing with fresh eyes
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Visualizing information for advocacy
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S plus trellis graphics
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Making Data Visual
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Tableau Desktop Cookbook by Lorna Brown (O’Reilly, 2021)
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Innovative Tableau by Ryan Sleeper (O’Reilly, 2020)
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Practical Tableau by Ryan Sleeper (O’Reilly, 2018)
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Communicating Data with Tableau by Ben Jones (O’Reilly, 2014)
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Tableau Strategies by Ann Jackson and Luke Stanke (O’Reilly, 2021)
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Tableau Prep: Up & Running by Carl Allchin (O’Reilly, 2020)
Analysis Techniques
Productivity
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The Importance of Defining a Research Goal in a Data Science Project
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Data Science Project Scoping Guide == Agile
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Agile project management
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Agile practice guide
Data Ethics
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97 Things about ethics everyone should know
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Incorporating Diverse Backgrounds
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Asked and Answered by Pamela E. Harris and Aris Winger (2020)
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Practices and Policies by Pamela E. Harris and Aris Winger (2021)
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Read and Rectify by Pamela E. Harris and Aris Winger (2022)
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Testimonios by Pamela E. Harris, Alicia Prieto-Langarica, Vanessa Rivera Quiñones, Luis Sordo Vieira, Rosaura Uscanga, and Andrés R. Vindas Meléndez
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Unleash Different by Rich Donovan (2018)