CausalNex Data Science workshop with QuantumBlack / McKinsey

Throughout the semester we frequently organise Data Science Meetups, where we invite speakers to share their recent projects, interesting papers or experiences. Moreover, we provide you insights fascinating companies and institutes, by offering workshops, and field trips. But what would all that be without being able to apply your skills? That’s why we host our two flagship events, the Datathon and Hack4Good.

 

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CausalNex Data Science workshop with QuantumBlack / McKinsey

2021-11-09

CausalNex Data Science workshop

Correlation or causation?

QuantumBlacks open source product, CausalNex is a software library that data scientists can use to analyze datasets and build models that consider cause-and-effect, a challenge that experts have long struggled to solve.
In this technical in person workshop, you will learn how to use the tool and get a chance to spend a great evening with fellow data science practitioners.


Workshop lead: Ben Horsburgh – principal machine learning engineer and co-creator of CausalNex together with a technical faculty of data scientist from QuantumBlack Zürich.
Location: Impact Hub Viadukt: Viaduktstrasse 93, 8005 Zurich
Time: The event will start at 6.30

Register here: jobs.mckinsey.com

Application deadline is 7th of November

This event is limited to 15 attendants (please note a valid Covid-19 certificate of vaccination will be required in order to attend)

Details

Date:
2021-11-09

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