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An Introduction to Data Science

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Add to Calendar 2020-01-20 12:00pm 2020-01-20 1:00pm Europe/London An Introduction to Data Science by Your place is confirmed! Uhubs is proud to present "An Introduction to Data Science" by . Learn how to understand and implement data science in your decision making Read more – https://www.uhubs.co.uk/masterclasses/an-introduction-to-data-science The Masterclass will run from 12:00pm - 1:00pm GMT. Join the class on Zoom – www.uhubs.co.uk Think your colleagues or friends might be interested? Tell them to sign-up for upcoming Masterclasses on https://www.uhubs.co.uk/masterclasses (limited seats available). If you have any questions, please email us on hello@uhubs.co.uk See you soon! www.uhubs.co.uk
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12:00pm - 1:00pm GMT

Monday, January 20, 2020

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What is a Uhubs Masterclass?

Masterclasses are interactive and engaging sessions that provide rapid upskilling so that you can grow personally and professionally.

Available for everyone
High-impact in 60 minutes
Delivered by Experts
Fcoused on active learning
Community oriented with live networking
Resources and frameworks provided
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About this Masterclass

About this Summit

Learn how to understand and implement data science in your decision making

In this Uhubs session, data scientist and CEO of The Tesseract Academy, Dr. Stylianos Kampakis will help you get introduced into the history of Data Science to learn about why it is important and how it used by companies around the world.

There is a long history of humans trying to use data for all sorts of purposes and understanding the principles behind Data Science will allow you to build your own data-driven culture which in turn will impact these core fields that can be found in your business: machine learning, AI and statistics.

Learning Objectives

1. Quick overview of history DS history

2. Types of machine learning

3. Basic topics in building a data-driven culture

Schedule:

18:20: arrival at the Uhubs Campus, Shoreditch (come early and network!)

18:45: Session starts (please don't be late!)

19:45: Session finishes, subject to Q n A (Stay around to Network)

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