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October 4-6, 2017 - Vancouver, BC Canada
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Wednesday, October 4 • 2:20pm - 4:10pm
WORKSHOP: Data Science Survival Kit (I) - Philipp Burckhardt, Carnegie Mellon University & Athan Reines, Independent Software Engineer

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One of the next frontiers for Node.js world domination is data science. Yet the field of data science can appear intractable and overwhelming, leaving newcomers at a loss for knowing where to begin. But once you learn basic principles, you will see many opportunities for applying data science techniques in your projects.

In this workshop, Athan Reines and Philipp Burckhardt will show you how to leverage Node.js for data science. We’ll run through a series of brief exercises, allowing you to get a hands-on introduction to analytics, machine learning, and exploratory data analysis and visualization.

By the end of this workshop, you’ll have a solid understanding of what kind of problems you can approach using data science techniques and you’ll have experience conducting a full analysis from start to finish.


Philipp Burckhardt

PhD Student, Carnegie Mellon University
Philipp Burckhardt is a PhD Student in the joint Statistics & Public Policy program at Carnegie Mellon University. He hold a Master's degree in Applied Statistics from the University of Oxford and a Bachelor's degree in Economics from Humboldt-University. Some of his interests are... Read More →
avatar for Athan Reines

Athan Reines

Software Engineer, Independent
Athan Reines is a full-stack engineer and data scientist. He has a PhD in Physics, where he used machine learning and time series analytics to probe biological systems at the nanoscale. He currently works full-time on open source projects to facilitate numeric computing in Node.js... Read More →

Wednesday October 4, 2017 2:20pm - 4:10pm PDT
West Meeting Room 117