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Why You Should Consider Outsourcing Your Next Training Project
By Carlos Russo • 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.

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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.

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

By Carlos Russo • 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!

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

By Carlos Russo • 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.

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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.

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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.

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The Impact Hypothesis: The Keystone to Transformative Data Science

By Carlos Russo • 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. This post 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.

alumni
How a Former Software Engineer’s Dream of Working in Machine Learning Became a Reality

By Emily Wilson • March 18, 2019

After 20+ years of working as a senior-level software engineer for companies like Goldman Sachs and Bank of America, Emy Parparita was looking for a change. Read how the bootcamp helped him transition to his current role of Machine Learning Engineer at Quora.

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AMA Recap: Nathan Grossman, Metis Beginner Python & Math Course Instructor (+ Data Scientist at Wells Fargo)

By Carlos Russo • March 05, 2019

We hosted an AMA (Ask Me Anything) session on our Community Slack channel with Nathan Grossman, Data Scientist at Wells Fargo and instructor of our next Beginner Python and Math for Data Science course. Check out some highlights from the Q&A here.

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Democratizing Data: How Training Your Team Leads to Better Projects & Happier Data Scientists

By Damien Martin • February 20, 2019

Democratizing data means more than just enabling your employees to make queries on the data. It means helping them develop the skills to read graphs, think about relevant scales, and interpret what the data is saying. In this post, Sr. Data Scientist Damien Martin shares how training your team leads to better projects and happier data scientists.

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