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.
Democratizing data means more than just enabling your employees to make queries on the data. It means helping them develop the skills to read graphs, think about relevant scales, and interpret what the data is saying. In this post, Sr. Data Scientist Damien Martin shares how training your team leads to better projects and happier data scientists.
On Friday afternoon, we officially announced an exciting collaboration with Kaplan Learning Institute (KLI), one of Singapore’s leading corporate training providers, through which we'll launch our Metis Data Science Bootcamp @ Kaplan in Singapore. Get all the details here!
Bootcamp graduates Joyce Lee and Matt Maresca covered a lot of ground using geography as a framework to design their final projects. Lee did on a county-by-county analysis to predict mortality rates from overdoses, while Maresca used satellite imagery to map farmland, urban development, and natural resources in Shanghai. Read the post for more!
Bootcamp grad Chris Gillespie is a Chicagoan through and through. He got a B.A. in Economics from Northwestern, attended our bootcamp in the city, and now works there as a Sr. Analyst for United Airlines. Read his story, including why he thinks Chicago has a strong market for data science careers.
News media has been through a lot of change during the past decade, especially in terms of its forced and jagged transition to digital production. This shift has come with the struggle to get readers to pay for digital subscriptions when free news online is often available with a click. Metis grad Kai-Ray Wang works to boost digital subscriptions at The New York Times as an Analytics Manager on the Consumer Acquisition team. Read his story here.
We recently hosted an AMA (Ask Me Anything) session with Sergey Fogelson, VP of Analytics and Measurement Sciences at Viacom and instructor of our upcoming Beginner Python and Math for Data Science course. Attendees asked questions about what to expect and how to prepare. Read the post for highlights from the hour-long chat. (Course starts Monday, 2/11!)
When we refer to Renkoh Kato as a "Metis graduate," we mean it in multiple ways. He first graduated from our part-time Introduction to Data Science course before applying to and graduating from our full-time Data Science Bootcamp. He's now a Data Scientist at JPMorgan Chase. In this post, read a brief Q&A about his journey from Intro student, to Bootcamp student, to Data Scientist.
As data science continues to develop into an increasingly established field – with staggering job opening estimates for years to come and high ranges of pay – it’s become a desired destination for data-oriented academics considering a career change. But how can they successfully make the transition? Read how the bootcamp's practical, challenging instruction paired with career support gets the job done.
Curiosity is essential to good data science. It’s one of the most important characteristics to look for in a data scientist and to foster in your data team. Despite that, curiosity is rarely directly managed. In this post, Metis Sr. Data Scientist Kerstin Frailey dives into how you should approach it.