- Audio CD: 1 pages
- Publisher: HarperCollins Publishers and Blackstone Audio; Unabridged AUDIO edition (9 May 2017)
- Language: English
- ISBN-10: 1538416883
- ISBN-13: 978-1538416884
- Product Dimensions: 14 x 2.5 x 14 cm
- Boxed-product Weight: 181 g
- Average Customer Review: 10 customer reviews
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Everybody Lies; Big Data, New Data, and What the Internet Reveals About Who We Really Are Audio CD – Audiobook, CD, Unabridged
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Audio CD, Audiobook, CD, Unabridged
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About the Author
Seth Stephens-Davidowitz is a New York Times op-ed contributor, a visiting lecturer at the Wharton School, and a former Google data scientist. He received a BA in philosophy from Stanford, where he graduated Phi Beta Kappa, and a PhD in economics from Harvard. His research-which uses new, big data sources to uncover hidden behaviors and attitudes-has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City.
Steven Pinker, a New York Times bestselling author, is the Harvard College Professor of Psychology at Harvard University. He has twice been a finalist for the Pulitzer Prize finalist and has won many awards for his research, teaching, and books. Hhe has been named one of Time's 100 Most Influential People in the World Today and Foreign Policy's 100 Global Thinkers.
Timothy Andres Pabon is an English- and Spanish-speaking voice-over artist who has worked extensively in advertising and audiobook narration. He has had acting roles on House of Cards and has also been a costar on HBO's acclaimed series The Wire opposite country music legend Steve Earl. As a stage actor, he has worked off-Broadway at the June Havoc Theatre, and his regional credits include Center Stage, the Shakespeare Theatre, Arena Stage, the Hippodrome, Olney Theatre, Rep Stage, and GALA Hispanic Theatre.
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10 customer reviews
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Seth explains data science and throws many fascinating insights from his studies at us. What he doesn't go through is the painstaking work he went through in collecting, organising, and exploring the data. There are no highly technical concepts for readers to wade through. But what if you want to start working with data yourself? My personal recommendation would be free data visualisation software called Tableau, which literally takes in large excel and CSV files, then spits out interactive insights through your manipulation (which doesn't take so long to learn). It allows everyone to engage in data analysis, and uncover their own insights about areas they are interested in.
The book is clear and entertaining for lay readers with a general interest in social sciences. It would also be good on the reading lists for undergraduate courses in social research methods.