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Demystifying Data Science: A Lawyer's Journey into Data Engineering

By: Metis Contributor

May 18, 2017

Like many Metis alumni, Max Farago came from a career quite different from data science. He worked for nearly four years as a lawyer – even running his own practice – and is now a Data Engineer at PreciseTarget, where he’s one of two people with a data background at the retail-oriented startup.

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Metis Approach to Data Science Education (Part 1): Project-Driven, Learning by Doing

by: Paul Burkard // May 10, 2017

This is the first entry in an ongoing series detailing the Metis approach to Data Science Education. The series will cover a variety of topics from strategies and philosophy to technologies and techniques, which have been cultivated through Metis’s firsthand experience instructing many aspiring data scientists.

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Cracking The Take Home Coding Exercise

by: Michelle Gill // May 08, 2017

Take home coding exercises are a common element of the data science interview process, particularly for entry level positions. One of our goals at Metis is to train individuals for career transitions into data science through completion of our 12-week data science bootcamp, which includes preparation for all stages of the job search process.

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Demystifying Data Science: How Jamie Fradkin Optimizes BuzzFeed Content

by: Emily Wilson // May 05, 2017

Metis graduate Jamie Fradkin's work as a Data Scientist at BuzzFeed is applied to optimizing viral posts that you’ve probably read and shared hundreds (or more) times.

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Congrats, You Finished Your Bootcamp. Now What?

by: Jason Moss // April 19, 2017

Now the bootcamp has ended. The daily rush of working in an intense, structured environment and collaborating with an amazing group of peers has been replaced by the hard truth that you need to find a job. No matter how incredible the career support is from your alma mater bootcamp, the onus is still on you to find that next role.

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Roadmap: How to Learn Machine Learning in 6 Months

by: Zachariah Miller // March 30, 2017

I came across a question on Quora that boiled down to: "How can I learn machine learning in six months?" I started to write up a short answer, but it quickly snowballed into a huge discussion of the pedagogical approach I used and how I made the transition from physics nerd to physics-nerd-with-machine-learning-in-his-toolbelt to data scientist. Here's a roadmap highlighting major points along the way.

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Q&A with Metis Alumni now @ Elsevier Labs, Booz Allen, Philadelphia 76ers

by: Emily Wilson // March 02, 2017

We recently hosted a virtual alumni panel featuring four recent graduates of our Data Science bootcamp. These grads are now working for the Philadelphia 76ers, Elsevier Labs, and Booz Allen Hamilton in a variety of data science roles, with a range of interesting responsibilities. During the hour-long event, Metis Director ...

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Demystifying Data Science: Panel Event at our Seattle Grand Opening

by: Emily Wilson // February 03, 2017

"Find your passion, think about what you're interested in – and it's not just data science, it's something else. We all have interests and passions and things that really excite us, and there's always a way to apply data science to it. That's really cool, there's a lot of data out there."

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Q&A with TensorFlow Expert Sam Abrahams

by: Emily Wilson // February 01, 2017

"It's more than just a deep learning or machine learning framework. It's a mathematical computation library. That means that it has the flexibility to be able to create and experiment with brand new models instead of just being stuck with out of the box models that some other libraries provide."

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Metis Reaction to Executive Order

by: Emily Wilson // January 31, 2017

At Metis, we have the privilege of teaching data science to people from around the world. Our students, alumni, and staff benefit greatly from the diverse range of perspectives and talents brought into the classroom every day by people of all nationalities, religions, orientations, and backgrounds.

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