Early App Deadline is Today for SF, Seattle, & Chicago Winter Bootcamp! Apply Now

BLOG

Owhx2isgkvznembkehww
alumni

Demystifying Data Science: Environmental Policy with a Data Science Twist

By: Emily Wilson

September 21, 2017

First as a student of Sustainability and Environmental Management, then as a research assistant with the Urban Green Council, bootcamp grad Megha Jain didn’t necessarily envision her future career having such a direct tie-in to data science – for no other reason than being unaware of how the two fields could blend and push one another forward.

interviews Kudperq3rdutnbxc4p9a
Omoju Miller's Drive to Prepare Us for the Fourth Industrial Revolution

By: Emily Wilson // September 13, 2017

Omoju Miller is a Senior Data Scientist of Machine Learning at GitHub and the instructor of our upcoming Introduction to Data Science part-time course in SF. In this interview, she discusses how education ties into preparing for the "fourth industrial revolution" and discusses her career, which has been truly impressive thus far.

alumni 68kg8ypssges2capbmx8
Demystifying Data Science: As Major League Soccer Grows, So Does the Data

By: Emily Wilson // September 07, 2017

Metis graduate Nelson Spencer is a Senior Analyst of Data Strategy & Analytics at Major League Soccer’s headquarters in New York City. He’s a soccer fan who grew up playing the sport, and he still plays to this day. Even so, he says the job’s main perk is the data itself, which grows in volume with the success of the league.

interviews Q0iaj7mgrctr6pdwrbbw
Working at Spotify, Transitioning from Academia to Data Science, & More – Q&A with Metis TA Kevin Mercurio

By: Emily Wilson // September 05, 2017

Kevin Mercurio is a Data Scientist at Spotify and the Teaching Assistant for our upcoming Live Online Introduction to Data Science part-time course. We caught up with him recently to discuss his daily responsibilities at Spotify, his transition from academia to data science, the upcoming Metis course, and more.

interviews Jjh3jlyer6uxpmgakiui
Effective, Beautiful, and Fun – Mollie Pettit On the Benefits of Data Visualization

By: Emily Wilson // August 24, 2017

Mollie Pettit is a big believer in the power that visualizations can wield in helping people to understand data, which can often be otherwise complex and cumbersome. Currently a full-time Data Scientist at Datascope Analytics, she'll also be teaching our upcoming part-time Data Visualization with D3.js course in Chicago. We caught up with her to discuss her passion for data viz, her recent Star Trek-focused visualization project, what work inspires her own, and more.

data science 0vkcvdtwi0ga8nrwslma
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.

alumni Gdofenyctey4dztrh7j0
Demystifying Data Science: Navigating a Daily Diet of Data at Grubhub

By: Metis  // 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.

alumni Bgjnwnrqgthcnmnt7vuq
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.

data science 5iifowqsqog8bedx4n1i
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.

data science Ptjbihntlof3oex9zvoj
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.