Livestream: Rocking Data Science Interviews!
This event will be Livestreamed:
Interviews suck. Interviews are an inefficient and biased way to determine and evaluate a person's skills and qualities, and data science interviews in particular tend to test for wrote memorization. Fortunately, interviews tend to cover a relatively small and standardized set of concepts, which makes it easy to brush up, and bring your A-game.
We'll cover a list of the concepts I use when leading interviews, have heard from colleagues, or have seen in the wild. I won't promise that this will land you your next job, but it should be a good place to start your review as you journey into the wild.
Brendan Herger enjoys bridging the gap between data science and engineering, to build and deploy data products. He is a Senior Data Scientist at Metis.
Brendan brings a unique combination of machine learning, deep learning, and software engineering skills. In his previous work at Capital One and startups, he has built authorization fraud, insider threat, and legal discovery automation platforms. In each of these cases he's lead a team of data scientists and data engineers to enable and elevate his client's business workflow (and capture some amazing data).
When he's not knee deep in a code base, Brendan can be found traveling, sharing his collection of Japanese teas, and playing board games with his partner in Seattle.
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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