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data science

Event Recap: Q&As with Metis Program Managers in Chicago & NYC

By Metis • August 30, 2019

We recently hosted two related live online Ask Me Anything sessions on our Community Slack Channel. The first was with Caroline Csernus, Bootcamp Program Manager in Chicago, and the second was with Jesel Roosevelt, Bootcamp Program Manager in NYC. Each answered questions about the overall Data Science Bootcamp experience, plus some specific questions pertaining to how things run at each location. Read highlights here.

data science
Made at Metis: Predicting Court Decisions with Machine Learning, Analyzing Why Planes Crash, & More

By Emily Wilson • August 28, 2019

This post features three projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks.

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Demystifying Data Science Recap: Breaking Down Hilary Mason's Keynote

By Emily Wilson • August 26, 2019

In July, we hosted our 3rd annual Demystifying Data Science live online conference. On Day 2, we offered 8 talks and 3 workshops filled with content geared toward an audience of Data-Focused Business Leaders and Practitioners. We couldn't have asked for a better way to start the day than by hearing a keynote talk from Hilary Mason, General Manager of Machine Learning at Cloudera. Read a recap of it here + get access to the recording for free.

data science
Sr. Data Scientist Roundup: Seq2Seq with Pytorch, Vital Communication Skills, and Free Data Science Workshops

By Emily Wilson • August 23, 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.

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Demystifying Data Science Day 2 Content: For Business Leaders & Practitioners

By Metis • August 21, 2019

Last month, we had the pleasure of hosting our 3rd annual Demystifying Data Science live online conference. Day 2 was filled with talks and workshops geared toward an audience of Data-Focused Business Leaders and Practitioners. In this post, we'll briefly recap what happened on that day, including who spoke, what they discussed, and how you can access every recorded talk and workshop for learning on your own time.

data science
3 Ways to Improve Your Data Science Communication Skills

By Lara Kattan • August 10, 2019

Data scientists are often described as hybrids: part statistician, part computer scientist; part analyst, part strategist. But while we focus on the myriad technical skills that a data scientist should possess, we often overlook one of the foundational skills (without which the whole edifice falls apart): communication skills. In this post, read three tips for improving your professional communication skills.

data science
Data Science Salon Miami Speakers Discuss Major AI Trends Affecting Their Industries

By Metis • August 07, 2019

In this guest post, read how some of the speakers at FormulatedBy's upcoming Data Science Salon Miami event think about major AI trends affecting their industries.

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How Complicated is the Data Science Population? A Comprehensive Look at IBM, McKinsey, & LinkedIn Reports

By Metis • July 30, 2019

In this guest post from IADSS, read about extensive research being done with the goal of proposing industry standards for the data analytics profession.

data science
How to Learn Data Science Quickly and Effectively

By Metis • July 16, 2019

There’s no shortage of discussion in the data science community about WHERE to best learn data science. However, there’s precious little discussion of a topic that’s arguably more important: HOW to learn data science. In this guest post from Dataquest, read about the 3 crucial things you need to do no matter where you're learning.

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How the Data Science for Social Good Model Guided this Grad's Career Path

By Emily Wilson • July 12, 2019

Considering her career path and where she is now, it’s remarkable to think that Tiffany Moeller has never taken a college-level math course. Read how she went from earning a degree in counseling to finding her way into data science and engineering, all the while finding motivation from the idea of using data for social good.