What we're about

Metis ( http://www.thisismetis.com/ ) accelerates the careers of data scientists by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs.

We host data science events for aspiring and practicing data scientists and are happy to partner with existing Meetups who would like to collaborate on events in our space.

Want to do an event with us? Fill out this form here: http://bit.ly/2L2vd6l

Stay connected online by joining our new Slack channel!

Apply here: http://bit.ly/MetisCommunitySlack

Upcoming events (2)

AMA About Beginner Python & Math for Data Science Course & the Metis Bootcamp

NOTE: This is a live "Ask Me Anything" within the Metis Community Slack channel. To join, apply at the link below. http://bit.ly/MetisCommunitySlack Once you're in, join the #general channel and ask away! Want to learn more about data science but have no idea where to start? This course is for absolute beginners looking for an introduction to the basic Python programming and mathematical principles essential to learn as a first step toward developing data science skills or a new career in the field. We will cover: Introduction to programming in Python Common Python libraries: NumPy, Pandas, Matplotlib Foundations of linear algebra Foundations of calculus Foundations of probability Foundation of statistics Course details: October 21st to December 2nd Mondays and Wednesdays 6:30pm - 9:30pm PT Jonathan Balaban, Senior Data Scientist at Metis, is a consultant, data scientist, and entrepreneur with ten years of private, public, and philanthropic experience. Jonathan has also worked at McKinsey and Booz Allen Hamilton, and he has taught data science at General Assembly. He has led teams to design bespoke data science solutions that have driven revolutionary changes in client operations. Jonathan - sometimes successfully - leverages data science solutions in his personal life: on friends, racing, and training. ************* About Metis Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps. The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle. On the corporate side, Metis works with large organizations who want to up-skill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education. ************* Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack ************* 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). 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 and promptly addressed.

Livestream: Faster Time to Insights Using AutoML and Auto Visualization

This event will be Livestreamed here: https://livestream.com/accounts/23925505/events/8831297 ABSTRACT Data Scientists today grapple with two problems: 1. Big Data 2. Bewildering Choice. Big Data enables data scientists to analyze more of what's available, but they can't visualize it or explain it so easily. In addition, there is a bewildering array of tools available which means substantial work with steep learning curves to master each one of them. The solution is automation: automate what's mundane so we can focus on the most important. Here I will describe what's available in terms of Open Source and Proprietary tools for automating Data Science tasks and introduce 2 new tools: one to visualize any sized data set with one click, another: to try multiple ML models and techniques with a single call. I will provide the Github Repos for both for free in the talk and workshop. BIO Ram Seshadri is a Data Scientist with deep experience in financial services and tech/media/telecom. Ram currently works as a Machine Learning Program Manager at Google and was formerly a Data Scientist at Morgan Stanley and an instructor at New York Institute of Finance. ************* About Metis Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps. The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle. On the corporate side, Metis works with large organizations who want to upskill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education. ************* Join our Metis Community Slack channel! Apply here: http://bit.ly/MetisCommunitySlack ************* 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 and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and 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 and promptly addressed.

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