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Metis Co-Founder & President Jason Moss on Three Leagues of Data Literacy
By Emily Wilson • April 08, 2018

Read Metis co-founder and president Jason Moss's article for IT ProPortal: The Three Leagues of Data Literacy – and How to Play to Win. In it, he explains why data literacy in business is increasingly crucial.

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Sr. Data Scientist Roundup: Turi Create Analysis, New Course Development, and More

By Emily Wilson • April 05, 2018

When our Sr. Data Scientists aren't teaching the intensive, 12-week bootcamps, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.

alumni
Q&A with Paul Black, Metis Grad & Jr. Data Scientist at DRIVIN

By Emily Wilson • April 02, 2018

We recently hosted a live Ask Me Anything (AMA) session on our Community Slack channel, with guests asking questions of Paul Black, Metis graduate and Jr. Data Scientist at DRIVIN powered by KAR. Below, we've included some highlights from the AMA session. It makes for a great read, especially for anyone interested in starting their own data science journey.

careers
Course Report Interviews Metis Career Advisor: How to Ace The Data Science Job Interview

By Emily Wilson • March 20, 2018

Course Report recently interviewed Metis Sr. Career Advisor Andrew Savage, seeking his input on how to ace the notoriously strenuous data science interview. They wanted to know: What actually happens in a data science job interview? How can you prepare and what should you expect?

community
International Women's Day – What It Means to Us and Why We Celebrate

By Emily Wilson • March 08, 2018

Today, March 8th is International Women's Day, a day to celebrate the social, economic, cultural, and political achievements of women around the globe, but also to highlight inequality and press on toward gender parity and equal rights for every woman, everywhere. This year's theme and call-to-action is #PressforProgress. We asked staff and alumni what that means to them.

data science
How Biased AI Holds Data Science Back (+ Ways to Fix It) by Sr. Data Scientist Sophie Searcy

By Emily Wilson • March 06, 2018

This week, Metis Sr. Data Scientist Sophie Searcy's article, How Biased AI is Holding Us Back, and Two Things We Can Do About It, was published in InformationWeek. In it, she expounds upon ideas of increasing access for diverse groups of young people, as well as ensuring the diversification of senior leadership. Read the full article for much more insight and information on the ever-important topic.

data science
What is a Monte Carlo Simulation (Part 5)

By Zachariah Miller • March 01, 2018

This is the 5th and final installment of a series by Metis Sr. Data Scientist Zach Miller dedicated to investigating how Monte Carlo can be a great tool. In it, he discusses using Monte Carlo to measure business impact.

data science
How Business Leaders Can Keep Up With The Latest AI

By Emily Wilson • February 27, 2018

Metis Sr. Data Scientist Seth Weidman wrote an article for VentureBeat called 4 Deep Learning Breakthroughs Business Leaders Should Understand. In it, he asks a crucial question, "how can business leaders keep up with the latest AI to improve their performance?" Read his answer and find out how it ties into our Corporate Training offerings.

data science interviews
As Bootcamp Deadline Approaches, Sr. Data Scientist Discusses Value of Immersive Learning

By Emily Wilson • February 26, 2018

As we approach another Final Application Deadline (Monday, March 5th!) for Data Science Bootcamps in Seattle, San Francisco, Chicago, and New York City, we sat down with Metis Sr. Data Scientist Jonathan Balaban to ask him about the value of the 12-week program. In this Q&A, he talks about his professional background, why he wishes data science bootcamps had been around when he was learning and pursuing a career, and what students will get out of their time at Metis.

data science
What is a Monte Carlo Simulation? (Part 4)

By Zachariah Miller • February 23, 2018

In Part 4 of our ongoing series on the Monte Carlo Simulation, Metis Sr. Data Scientist Zach Miller asks and answers the question: "How do physicists use Monte Carlo to simulate particle interactions?"

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