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With Brendan Herger (Sr Data Scientist, Metis).
Wednesday, March 27, 2019 at 09:30 PM   Absolutely Free
Metis, Online

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This event will be Livestreamed here:

Python is the de facto language for data science & machine learning, but the PyData stack (Pandas & SKLearn) can limit projects.

Apache Spark is a world-class engine for transforming & modeling arbitrarily large data sets, & is largely based on the Pandas & SKLearn workflow. Even better, the PySpark interface allows for complex, big data workflows while still coding in Python.

Join us to learn more about expanding your toolset, & learning about when big data on Spark might make sense for your workflow.

Brendan Herger enjoys bridging the gap between data science & engineering, to build & deploy data products. He is a Senior Data Scientist at Metis.

Brendan brings a unique combination of machine learning, deep learning, & software engineering skills. In his previous work at Capital One & startups, he has built authorization fraud, insider threat, & legal discovery automation platforms. In each of these cases he's lead a team of data scientists & data engineers to enable & 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, & playing board games with his partner in Seattle.

About Metis

Metis ( accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, & corporate programs based in Seattle, New York, Chicago, & San Francisco.

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, & more. Students & 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.

Learn more about us at

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Metis Code of Conduct

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language & imagery is not appropriate for any event including talks, workshops, parties, & other online media. Individuals & groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you're made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously & promptly addressed.

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