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data science

Top 4 Reasons to Take a Live Online Data Science Course
By Metis • September 19, 2018

What makes live online courses such a great way to begin on your data science educational path? Read here to find the Top 4 Reasons to give them a try.

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For Those in Industry, Teaching Bootcamps Has Tangible Career Benefits

By Emily Wilson • September 18, 2018

Going through a data science bootcamp is an intense experience for everyone involved. Students work at a breakneck pace unparalleled in other learning environments, absorbing new and difficult concepts and skills, and applying them to projects starting as early as week one. All the while, instructors shoulder the hopes and fears of their cohorts as they guide and teach them over the course of 12 weeks. For interested individuals, teaching a bootcamp can have tangible career benefits related to industry goals and aspirations. Read how here.

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How to Play Offense on Job Interviews – Tips from Metis Director of Careers & Student Support

By Emily Wilson • September 17, 2018

Read Metis Director of Careers and Student Support Jennifer Raimone's advice for succeeding during the rigorous data science interview process. (Hint: You Need To Learn How To Play Offense!)

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Tips For Maintaining a Positive Attitude During Your Job Hunt

By Ashley Purdy • September 13, 2018

Finding a job is hard. Finding a job when you are transitioning into a new field, specifically data science, can be even tougher. And if you are methodical and like to do your research before jumping into a big task like a career transition you’ve probably found plenty of articles that discuss how to put a resume together, or prepare for an interview. But this is not one of those articles. Instead, I want to share with you some ways to keep you sane and motivated in your job search. Because a big part of a successful interview is showing up energized and with a positive attitude, but when those job search blues hit (and, trust me, we’ve all been there) it can be difficult to put on a happy face. So here are some things you can do to overcome your frustrations and maintain a positive attitude in your job search.

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"A Prelude to Pyro" by Metis Sr. Data Scientist Chad Scherrer

By Metis • August 31, 2018

Metis Sr. Data Scientist Chad Scherrer has been exploring Pyro, a recent development in probabilistic programming from Uber AI Labs. In this post, he breaks down the meaning of it all and remarks on the potential.

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Meet Dangaia Sims, Metis Bootcamp Grad and Sr. Data Scientist at IBM

By Emily Wilson • August 23, 2018

In this brief interview, hear Metis grad Dangaia Sims tell the story of her transition from academia (Ph.D., Kinesiology) to industry and how the bootcamp helped her get there.

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Sr. Data Scientist Roundup: Climate Modeling, Deep Learning Cheat Sheet, & NLP Pipeline Management

By Emily Wilson • August 21, 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 some of their recent activities and accomplishments. This month, read about projects covering climate modeling, deep learning, & NLP pipeline management.

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Metis Seattle Graduate Susan Fung's Journey from Academia to Data Science

By Emily Wilson • August 08, 2018

Always passionate about the sciences, Susan Fung earned her Ph.D. in Neurobiology from the University of Washington before even thinking about the existence of data science bootcamps . In a recent (and excellent) blog post , she wrote: "My day to day involved designing experiments and making sure I had ...

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Course Report Interview: Why Student Chose Part-Time Python Course Before Bootcamp

By Metis • August 07, 2018

In an interview with Course Report, current Metis bootcamp student Carolina Gonzalez discussed her decision to take the Metis Beginner Python & Math for Data Science part-time course before applying to the full-time immersive bootcamp.

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Made at Metis: Waste Analysis + Building Data Science Solutions

By Emily Wilson • August 01, 2018

Take a look around and you might notice some waste. It could come in the form of something physical that you can see or feel or smell. Or it might be invisible to the eye, like wasted time or resources due to lapses in efficiency. Two recent Metis graduates took an interest in these different forms of waste and used data science to come up with ways to minimize negative impact and maximize positive solutions.

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