Books by Darrell Huff
“Huff was a journalist, who tried to introduce how you can lie with statistics to people who may not be aware of this problem. It covers things like the typical ‘correlation doesn’t imply causation’, but also how random sampling works, how pie charts and bar charts can be misleading, and so on. It’s a must-read for anyone who works in business or in this industry in general.” Read more...
The best books on Learning Python and Data Science
Vicki Boykis, Technologist
Interviews where books by Darrell Huff were recommended
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1
Learn Python the Hard Way
by Zed A. Shaw -
2
Coders at Work: Reflections on the Craft of Programming
by Peter Seibel -
3
Big Data: Principles and Best Practices of Scalable Realtime Data Systems
Nathan Marz (with James Warren) -
4
How To Lie With Statistics
by Darrell Huff -
5
Computer Organization and Design MIPS Edition: The Hardware/Software Interface
by David A. Patterson & John L. Hennessy
The best books on Learning Python and Data Science, recommended by Vicki Boykis
The best books on Learning Python and Data Science, recommended by Vicki Boykis
What do we mean when we talk about ‘big data’, and how can be become better critical consumers of it? Data scientist Vicki Boykis recommends the best books for learning Python—a language, she says, as versatile as a Swiss Army knife—and shows that it’s possible to teach yourself coding and data science.
The best books on Personal Finance, recommended by Jason Zweig
The author and Wall Street Journal personal finance columnist, Jason Zweig, explains why there’s truth in the old adage that investors get the returns they deserve, and recommends books that might help you avoid being taken for a ride.
