Video Series: Demystifying Data Science – Launching Your Data Science Career
By Emily Wilson • February 14, 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 first.
Each post will cover a specific data science topic and will include talks related to that topic. Our first focus is on data science careers. How do you launch one? How do you prepare for the daunting data science interview? What's a first data science job really like? Below, we've included five 18-minute talks (with Q&As) that will collectively answer those questions and more.
5 Steps to Launch Your Data Science Career (with Python) Kevin Markham, Founder of Data School
Getting a Data Science Job is Not About Stacking up Prerequisites and Hoping Somebody Picks You Sebastian Gutierrez, Data Scientist and Data Visualizer
Fixing the Hot Mess: What You’re Doing Wrong to Hire and Get Hired In Data Science Vin Vashishta, Founder and Chief Data Scientist at V-Squared
Preparing for the Data Science Interview Megan Ayraud, former Metis Head of Careers
Accelerating Your Data Science Career with a Bootcamp: A Metis Alumni Panel Moderator: Megan Ayraud, Former Metis Head of Careers
Panelists: Jessica Cox (Elsevier Labs), Andre Gatorano (Capital One), Michael Lai (Philadelphia 76ers), Naoya Kanai (Airbnb), Lorena De La Parra Landa (CKM Advisors)
Career development is essential when learning data science and working toward a related career. Learn more about the career services we offer students of our data science bootcamp.
Last week, we had the opportunity to write a guest post for SwitchUp. Titled "Taking Advantage of Metis Career Services During the Bootcamp," it features portions of an interview with Ashley Purdy, Metis Chicago Career Advisor, as well as input from bootcamp graduates.
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.
There are a number of individuals with careers in banking, accounting, education, academia, and other fields who are seeking professional change for a variety of reasons. How can a data science bootcamp factor into that scenario, especially for those with a passion for math and statistics? Find out here.