This is a recurring event: View all events in the series “Data Bites”
Abstract
In this session, Shaun will hold himself to account for what he said at a City Data Bites talk 4-5 years ago, and then go even further back to the year 2002 and the very beginning of my journey towards data science.
He will focus his lessons learned, and recommendations for today's future data scientists, on two dimensions: which things did he have fun learning, and which were actually useful in the long run?
Now that your friends and family are asking you about Chat GPT, Shaun hopes to help you tie their current enthusiasm to a greater understanding of what you really do all day.
About the Speaker:
Shaun McGirr is a data leader with experience across official statistics, academia, consulting, and data science in a large automotive services company.
He recently achieved minor stardom in a documentary Data Science Pioneers, coining the phrase “things that happen 35% of the time, happen ALL the time” to explain why quite likely outcomes are often dismissed out of hand.
Shaun believes the toughest part of doing data well is finding the right questions and ensuring the answers will actually push a lever to change the world, a theme developed further in his podcast Half Stack Data Science.
At Dataiku, he helps customers and colleagues identify and articulate the value of putting data science in the hands of everyone.
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