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4 Steps To Consider When Planning Your Next Data Science Training Project
By Douglas Noll • June 19, 2019

If you’ve ever led or were responsible for putting together a data science and analytics training project, you know it can be a difficult and time-consuming process. But putting a training project plan in place doesn’t have to be difficult as long as you’re keeping a few key steps in mind along the way.

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Sr. Data Scientist Roundup: How WaveNet Works, Art + Data Science, Upcoming Conference Talks, & More

By Emily Wilson • June 19, 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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AMA Recap: Understanding the Basics with Beginner Python & Math Instructor Samiyeh Mahmoudian

By Metis • June 18, 2019

We recently hosted an Ask Me Anything session on our Community Slack channel with Samiyeh (Sami) Mahmoudian, Sr. Data Scientist at Intertrust and instructor of our upcoming Live Online Beginner Python & Math for Data Science course. (Starts Monday, 6/24!) Read here for some highlights from the hour-long chat.

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AMA Recap: The Transition from Academia to Data Science with Metis Sr. Data Scientist Kimberly Fessel

By Metis • June 05, 2019

Read this recap from a recent Ask Me Anything session with Metis Sr. Data Scientist Kimberly Fessel, who took questions about her transition from academia to data science. Kimberly holds a Ph.D. in applied mathematics and completed a postdoctoral fellowship in math biology, but realized that academia wasn't her long-term passion. Learn more about her path to data science here.

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Metis Case Study: Helping CMA Consulting Remain on the Cutting Edge

By Metis • May 24, 2019

In this case study, read how we worked with CMA Strategy Consulting (a boutique consulting firm focused on the telecommunications, media, and high tech industries) to evolve its capabilities and ensure its services remained on the cutting edge.

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AMA Recap: Q&A with Alison Cossette, Intro to Data Science Instructor

By Metis • May 16, 2019

During a recent Ask Me Anything session, attendees asked Alison Cossette (Director of Data Science in Research & Development at the NPD Group + instructor of our upcoming Intro to Data Science course) questions about what to expect and how to prepare for the course. Plus, they asked her about her experience as a Metis bootcamp student and graduate.

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Sr. Data Scientist Roundup: Scoping & Designing Projects, Intro to PyTorch with NLP

By Emily Wilson • May 07, 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 some of their recent activities. In this edition, read blogs on the importance of both scoping and designing data science projects, and get an introduction to PyTorch with NLP.

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Made at Metis: Analysis of Bitcoin's Utility + Cultural Impact of Cosmo Covers

By Metis • April 26, 2019

In this edition of the Made at Metis blog series, check out two bootcamp final projects: an analysis of bitcoin's utility and an examination of the cultural impact of Cosmopolitan magazine covers.

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Seattle Data Science Career Advice: Landing a Job in The Emerald City

By Marybeth Redmond • April 23, 2019

Let’s face it: today's job market is confusing – perhaps even more so in data science, where job titles are all over the map, needed skill sets aren’t always clear in job descriptions, interviews are famously intense, and so forth. In this post, Metis Seattle Career Advisor Marybeth Redmond explains how to effectively navigate the tricky waters of the job search, particularly in the Seattle area.

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Scoping a Data Science Project

By Damien Martin • April 22, 2019

In February, Metis Sr. Data Scientist Damien Martin wrote a post on how to foster a data literate and empowered workforce, which allows your data science team to then work on projects rather than ad hoc analyses. In this post, he explains how to carefully scope those data science projects for maximum impact and benefit.

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