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Data Science Book Recommendations: A Crowdsourced List
By Emily Wilson • April 16, 2018
Last month, Metis Sr. Data Scientist and Corporate Trainer David Ziganto posted a simple question on LinkedIn along with a picture of his personal collection of data science books. "Here’s my fledgling data science library," he wrote. "Help me out: which great books am I missing?" Nearly 100 comments later, David now has an incredible list of additional books to add to his shelves.
You can read through the original comments here, and/or you can check out David's related blog post here, which aggregates all the recommendations into categories like data cleaning, deep learning, machine learning, pedagogy, visualization, and many more. It's a truly awesome list and resource for anyone at any stage of their data science learning journeys.
But of course, we have to ask (because there's always room for additional learning!) – are there any books missing from the list? Let us know on Twitter @thisismetis.
When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.
Last week, Metis Sr. Data Scientist Joe Eddy published an article on Course Report titled Pandas in Python: A Guide for Beginners. In it, he explains how Pandas was developed, how it's used by data scientists and within companies worldwide, and how beginners can start learning some basics on their own.