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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
While there are a number of ways to enter the data science field, we believe an immersive bootcamp is the most efficient and effective path with the best overall return on investment. But understandably, many people have questions about how a bootcamp will help them navigate the process of landing a job in the field. In this post, we share answers to 5 common questions that we receive from potential applicants.
In partnership with Course Report, Metis Sr. Data Scientist Kimberly Fessel recently hosted a Math for Data Science webinar. During the 40-minute conversation, Kimberly highlights why you need math skills to be a Data Scientist and goes in-depth into which types of math you need to know in order to launch your career and find lasting success.