Lessons From The Deep End of Data Science | London
About this event
Data science and AI promise to revolutionise the world, but how do you do this in a company older than the internet? Data scientists in this environment need more than clever algorithms to succeed, yet these additional requirements only appear when you are already in the deep end.
A data scientist must be able to think like a statistician, a scientist, a customer, and a software developer, sometimes in the same meeting! This is especially true in organisations where data science is a new function, which is most organisations.
At this event you’ll get a glimpse at the other side of the data science “stack” - the skills and techniques that complement your technical knowledge and are at least as important to succeed.
Chart your own career path This event is presented by David Asboth and Shaun McGirr, co-hosts of the Half Stack Data Science podcast and developers of a full-day workshop covering this content in greater depth. If our event highlights you also need training in the technical skills of data science, General Assembly offer a range of immersive, part-time and introductory offerings, outlined here.
Takeaways
- Understand the challenges faced by data scientists in the real world
- Discover the non-technical skills needed for success in data science
- Learn three skills you can apply right away!
Prereqs & Preparation
Participants should have some basic familiarity with data science, whether as recent students of a course or bootcamp, as part of their job, or just a curiosity about what it looks like in the real world.
