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.
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.
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.
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.
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.
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.
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.
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.