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ODSC East & Accelerate AI: Trainings & Talks from the Metis Team
By Metis • April 22, 2019

Attending ODSC East & Accelerate AI in Boston April 30th - May 1st? If so, be sure to check out these trainings and talks from our team members. They'll cover probabilistic programming, how to build generative adversarial networks, and how to build an effective data science project portfolio for your business.

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Why You Should Consider Outsourcing Your Next Training Project

By Douglas Noll • April 19, 2019

If you’ve ever been responsible for, or had a degree of influence in, building a training program for your organization, you’ve likely been faced with a potential dilemma: Can you build the training in-house, or do you need external assistance via a training partner? In this post, read the case for the latter.

alumni
The Value of an “Unstructured Mathematical Mind” in the World of Startup Data Science

By Emily Wilson • April 07, 2019

“Learn, viciously.” That's the advice Metis graduate Leon Johnson gives to those interested in the bootcamp. And he's no stranger to following his own advice when dedicated to professional and academic pursuits. In this post, read his story, which involves a Math degree, being commissioned into the Air Force, a master's degree, the bootcamp, and his current role as Data Scientist.

events
Bootcamp Questions, Answered: Q&A with Metis Admissions + Career Support

By Metis • April 05, 2019

Have questions about our data science bootcamp? We hosted a live Ask Me Anything session on our Community Slack channel feat. Metis Career Advisor Marybeth Redmond and Sr. Admissions Manager Josh Shaman. They answered a variety of questions about the bootcamp, ranging from the application process, job search, career trajectories, curriculum, expectations, and much more. Read here for some highlights!

events
Q&A with Intro to Data Science Course Instructor/Creator Sergey Fogelson

By Metis • April 03, 2019

We recently hosted an Ask Me Anything session on our Community Slack channel with Sergey Fogelson, VP of Analytics & Measurement Sciences at Viacom + instructor of our upcoming Introduction to Data Science course. Attendees asked Fogelson questions about the course including what to expect, how to prepare, and how it will benefit their goals and careers. Read here for highlights from the hour-long chat.

interviews
Critical Thinking & Data Science: Conversations with Debbie Berebichez, Metis Chief Data Scientist

By Metis • April 01, 2019

As a physicist, TV host, and our Chief Data Scientist, Debbie Berebichez is always up to something interesting. Lately, she's been focused on the relationship between Critical Thinking and Data Science and discussed it on both the DataFramed podcast and the Story By Data YouTube channel. Check out both here.

alumni
Finance, Technology, and Human Behavior: The Story of One Grad's Ideal Role

By Emily Wilson • March 27, 2019

Bootcamp graduate Laura Chen has always been deeply curious about human behavior. Read how she landed a job that allows her to explore that interest while also working closely with her passions for finance and technology.

data science
Sr. Data Scientist Roundup: Effects of AI Bias, Impact Hypothesis, and Tips for Hiring Your Data Team

By Emily Wilson • March 26, 2019

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

business resource
Playbook: Hiring Data Scientists

By Brendan Herger • March 25, 2019

Data scientists are in high demand, particularly as data changes the way many companies do business. But it can be difficult to attract (and retain) data science talent in a job market that is growing at an unprecedented rate. In this post, Metis Sr. Data Scientist Brendan Herger draws on years of experience to share how to effectively and efficiently hire data scientists and build out your team.

business resource
The Impact Hypothesis: The Keystone to Transformative Data Science

By Kerstin Frailey • March 22, 2019

Too often we assume that good data science translates to effective data science, even though it's untrue. This assumption has killed many would-be successful projects. In this post, Sr. Data Scientist Kerstin Frailey introduces the impact hypothesis, or, how to critically scope and communicate how a project will drive impact. Doing this will transform the way data science drives your business.

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