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Video Series: Demystifying Data Science – Breaking Down Data Science Roles
By Emily Wilson • February 22, 2018
Back in September 2017, we hosted a free live online conference featuring 12 straight hours of data science talks from more than 25 of the industry's best and brightest speakers. Demystifying Data Science was an awesome day of insights, advice, information, and interaction for aspiring data scientists. To share it all, we've broken the collection of recordings into a six-part blog series, of which this is the second. The topic? Breaking Down Data Science Roles. (In Part 1, we covered Launching Your Data Science Career.)
What should you know about various data science roles before you embark on your career (or before you make a career shift)? And what do data scientists really do on a daily basis anyway? Hear talks from three working data scientists about their roles, their ideas of what makes a data scientist, and what you should know about the complex, evolving, exciting field.
Becoming a Data Scientist Renee Teate, Data Scientist &Host of Becoming a Data Scientist podcast
What Exactly Does a Data Scientist Do? William Chen, Data Scientist @ Quora
Is This a Reference I'm Supposed to Get? Mara Averick, Consultant @ TCB Analytics
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.
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.