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Metis Blog

data science

How to Gather Data from YouTube

By Kimberly Fessel • November 11, 2019

In this post, learn how you can gain access to three types of YouTube data: the videos themselves for use in computer vision tasks, the video transcripts for natural language processing (NLP), and video search results for hybrid machine learning efforts.

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Via Non-Traditional Path, Grad Alexandra Fox Sets & Meets Data Science Goals

By Emily Wilson • November 08, 2019

If such a thing as a “traditional path” to data science exists, bootcamp graduate Alexandra Fox didn’t take it.  Instead, she forged her own route, complete with the goal of getting a job as a data scientist immediately after graduation. Find out how she did it and what she's up to now here.

data science
Course Report Guest Post: Beginner's Guide to Using Pandas for Python

By Carlos Russo • November 07, 2019

Last week, Metis Sr. Data Scientist Joe Eddy published an article on Course Report titled Pandas in Python: A Guide for Beginners. In it, he explains how Pandas was developed, how it's used by data scientists and within companies worldwide, and how beginners can start learning some basics on their own.

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Made at Metis: Clustering NBA Playstyles Using Machine Learning; Automatic Pricing on Etsy

By Emily Wilson • November 04, 2019

This post features two final projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including these projects on Clustering NBA Playstyles Using Machine Learning and Automatic Pricing for Etsy Sellers.

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Understanding Python’s Rise in Popularity

By Laura Montemayor • October 28, 2019

Metis Sr. Data Scientist Kevin Birnbaum reacts to a new Burtch Works survey about which tools data scientists and analytics professionals prefer to use.

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AMA Recap: Become a Better Reader & Designer of Visualizations with Alberto Cairo

By Carlos Russo • October 21, 2019

We've all heard the saying, “a picture is worth a thousand words." We believe that visualizations should "simplify information" and that they are powerful because they are “intuitive and easy to read." But what if these are myths? During his AMA, Alberto Cairo (Knight Chair in Visual Journalism at the University of Miami), spoke on how to become better readers and designers of charts, graphs, and maps.

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Meet Kevin Birnbaum, New Metis Sr. Data Scientist

By Emily Wilson • October 17, 2019

Kevin Birnbaum is a new Sr. Data Scientist on the Corporate Training team at Metis. We recently caught up with him to ask a few questions about his career thus far, his new role at Metis, what interests him most about data science, and more.

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AMA Recap: How Data Can Save the World with Natalie Evans Harris

By Carlos Russo • October 17, 2019

We recently hosted Natalie Evans Harris, Co-Founder and Head of Strategic Initiatives at BrightHive, for a live online Ask Me Anything session exploring the ways in which data scientists, data professionals, companies, and institutions can equip themselves and others with tools to transform lives through data. Watch a recording here.

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Demystifying Data Science Recap: Tom Schenk Jr. on Doing Good with Data Science

By Emily Wilson • October 01, 2019

For those interested in what was covered on Day 2 of Demystifying Data Science (designed for Business Leaders, Managers, and Practitioners), we’re offering an easy-to-read blog series that summarizes each speaker's talk. This installment covers Tom Schenk Jr.'s talk on How We Can Do Good With Data Science.

data science
Made at Metis: Predicting Earthquakes & Visualizing Personality Profiles in Film

By Emily Wilson • September 30, 2019

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