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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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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.

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 Metis • 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.

data science
SwitchUp Guest Post: Skills Needed to Prepare for a Data Science Bootcamp

By Metis • March 04, 2019

Knowing that bootcamps present a particular type of learning experience, we wrote a guest post on SwitchUp covering the hard and soft skills necessary to prepare before you apply.

alumni
In the Field: Meet Bootcamp Grads Jannie Chang (Data Scientist, Heretik) & Joe Gambino (Designer + Data Scientist, IDEO)

By Metis • February 28, 2019

We love nothing more than spreading the news of our Data Science Bootcamp graduates' successes in the field. Here, enjoy a video interview produced by Heretik, where graduate Jannie Chang now works as a Data Scientist, then read an interview between deeplearning.ai and graduate Joe Gambino, Data Scientist at IDEO.

business resource
Metis's Michael Galvin Talks Improving Data Literacy, Upskilling Teams, & Python's Rise with Burtch Works

By Metis • February 27, 2019

In an excellent new interview conducted by Burtch Works, our Director of Data Science Corporate Training, Michael Galvin, discusses the value of "upskilling" your team, how to improve data literacy skills across your company, and why Python is the programming language of choice for so many.

data science
Sr. Data Scientist Roundup: Managing Essential Curiosity, Creating Function Factories in Python, and Much More

By Emily Wilson • February 22, 2019

This blog series tracks and discusses the recent activities and accomplishments of our talented Sr. Data Scientists. This month, read advice from the team on how to manage your own data team's curiosity, how to democratize data for all, how to create function factories in Python, and more.

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