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Do You Even Data Science?
By: David Ziganto

August 14, 2017

"The field is sprawling and there’s room for everyone," writes Metis Sr. Data Scientist David Ziganto. Read on for more about his view of what it takes to be a data scientist.

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Demystifying Data Science: Navigating a Daily Diet of Data at Grubhub

by: Metis Contributor // August 08, 2017

How does the weather affect your food-ordering patterns? Do you eat more takeout in the colder months? Do you order delivery every time a little rain hits the ground? These are the types of questions Metis bootcamp alumnus Yong Cho has been thinking a lot about lately. Now a Data Scientist at Grubhub, he's figuring out the daily impact of weather on the business.

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Demystifying Data Science: Grad Goes Full Circle with Datascope Analytics

by: Emily Wilson // August 02, 2017

While doing research on various bootcamps back in 2014, looking to transition out of her trade finance career, Jessica Freaner came across Metis and was drawn to the program based on the involvement of Datascope Analytics. The Chicago-based data science consulting firm was instrumental in developing the bootcamp curriculum and taught the first two cohorts in New York City, including Freaner’s. She now works there as a Data Scientist.

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How To Ace The Data Science Interview

by: David Ziganto // July 25, 2017

There’s no way around it. Technical interviews can seem harrowing. Nowhere, I would argue, is this truer than in data science. There’s just so much to know. What if they ask about bagging or boosting or A/B testing? What about SQL or Apache Spark or maximum likelihood estimation? Sr. Data Scientist David Ziganto provides 7 must-read tips for acing your next interview.

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Displaying Images in Tableau (with some help from Python)

by: Roberto Reif // July 24, 2017

With Tableau, one of the cool things you can do is define every pixel from an image. This allows you to create interesting visualizations as described in this blog post by Sr. Data Scientist Roberto Reif.

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Demystifying Data Science: Grad Works On Cutting-Edge Self-Driving Car Technology

by: Metis Contributor // July 24, 2017

Self-driving cars, once only existent in the realm of science fiction, edge closer to reality with each passing day. Data scientists like Galen Ballew, a graduate of the first Metis bootcamp in Chicago, are working day in and day out to make it so.

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Demystifying Data Science: From Startup to Big Business, Being Leveraged Effectively On The Job

by: Emily Wilson // July 17, 2017

This role is different for Andre Gatorano – and that’s a good thing. He’s now a Principal Data Scientist at Capital One, where he enjoys the fruits of the company’s noticeably strong commitment to a comprehensive data strategy.

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Faster Python - Tips & Tricks

by: David Ziganto // July 14, 2017

There is a plethora of information about how to speed up Python code. Some strategies revolve around leveraging libraries like Cython, whereas others propose a “do this, not that” coding approach. There exist many “do this, not that” strategies but I decided to focus on just a few. This post is split into two parts. In Part 1, I will compare two approaches commensurate with the “do this, not that” logic to see if there is a substantial difference and, if so, which approach is better. In Part 2, I will compare Python 2 and Python 3 to see if there is credence to the claim that Python 3 is indeed faster.

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Demystifying Data Science: The Push to Keep Learning Leads to a New Career

by: Emily Wilson // June 26, 2017

Bootcamp graduate Kimberley Mitchell, now a Data Analyst at Newsela, always had a significant interest in one crucial pillar of data science – statistics. This propelled her toward degrees in industrial engineering and economics, and into a career that has clear a delineation between before and after the birth of the mainstream internet. She worked as a Quality Engineer for AT&T and as a Statistician for Universal Instruments, among other roles, before the web took off and she wanted to take off with it.

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Demystifying Data Science: A Math-Loving Hip Hop Fan Becomes an Expert at Spotify

by: Emily Wilson // June 20, 2017

For Emily Hough-Kovacs, it’s not just about the final product when it comes to music. It’s about the intricacies of production, the record label, and the entire creative and business process. Now a Data Scientist at music streaming giant Spotify, she works on the Creator Products Insights Team.

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