Jumpstart a data science career with this pay-what-you-want ebook bundle

So you wanna be a data scientist, huh?
 By  TEAM COMMERCE  on 
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You can think of a data scientist as a modern version of one of those old-fashioned prospectors, sifting through a company's mounds of excess dirt and gravel (big data) to find some gems (trends and patterns in said big data).

Unlike old-fashioned prospectors of yore, though, today's data scientists find themselves in one of the IT world's fastest-growing industries. In fact, a recent Glassdoor report named "data scientist" the No. 1 gig in America last year. Not too shabby, huh?

Here's the thing, though: Learning the tricks of the data science trade can be pretty intimidating, especially with all the newfangled tools out there. (Hadoop and Python and Apache Spark, oh my!) Give yourself a leg up among the other aspiring data scientists with The Big Data Encyclopedia Bundle, a set of nine invaluable ebooks that cover the ins and outs of data mining, machine learning, big data forensic investigations, the R programming language, Hadoop architecture, deep leaning, and so much more.

Here's how this deal works: Make an offer that beats the average price, and you'll take home the entire bundle (a $336 value). If you're able to beat the current highest offer, you'll get featured on the leaderboard and entered into a legendary giveaway. If your offer winds up being lower than the average price, no worries — you'll still take home something great.

Ready to become a big data pro and kickstart your career? Thought so: Pop over to the Mashable Shop now to check out this limited-time offer. 

Leah Stodart
Leah Stodart
Senior Shopping Reporter

Leah Stodart is a Philadelphia-based Senior Shopping Reporter at Mashable where she covers and tests essential home tech like vacuums and TVs, plus eco-friendly hacks. Her ever-evolving experience in these categories comes in clutch when making recommendations on how to spend your money during shopping holidays like Black Friday, which Leah has been covering for Mashable since 2017.

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