What we're about

The focus of this Meetup group is to provide free monthly community data events, leading towards the annual Data Science Festival.

What is the London Data Science Festival?

2021 brings about the new and improved DSF Hybrid Festival for our 26K community members. Our virtual event will run the first four weeks of November, with our final day Saturday 27th November being in person. The live event will be at CodeNode near Moorgate in London.

About us

The Data Science Festival is a global data community. We aim to connect the data world and foster the sharing of knowledge, inspiration, and ideas.

The global network is dedicated to free education through grassroots technical events. We will cover the latest topics that matter most to data scientists and data engineers. There will be no demos that you can learn from a book or video, instead, our speakers will be discussing real-world problems, what works, what doesn’t work, and why they’ve implemented the solutions they have. They will generate lively discussion and debate, offering real-world takeaways to help you in your job.

Who is the Data Science Festival for?

• Data engineers, analysts, scientists, and other practitioners

• Academics, founders, researchers, authors

• R, Python, and other software engineers who work with data or want to learn

• Data visualisation developers and designers

• Non-technical team leads, executives, and other decision-makers from data centric startups and large companies looking to utilise open-source tools

How can I get involved?

Visit the DSF site to get involved!

We are actively looking for community-minded individuals to help build and grow our group, please feel free to get in touch if you would like to:

• Host an event

• Sponsor an event

• Present a session

• Volunteer to help organise the festival

Upcoming events (1)

Causal Data Science in Retail

Link visible for attendees

Welcome to the Data Science Festival Sandbox Session:

In this Sandbox Session on Thursday 13th October, Behzad Bordbar and Dipankar Nath from Marks & Spencers will discuss Causal Data Science in Retail

Session abstract: Understanding the supply chain, customer behaviour and effect of offer/promotion in large retail organisation such as M&S is a non-trivial task. Identifying causal impact of one set of action on another is an essential task in decision making. In M&S, we use machine learning in conjunction with causal inference to answer the “why” and “what-if” questions. In this talk we will discuss samples of the use of causal inference and application of Bayesian techniques in M&S.

Ticket Allocation Process: Once registered through our event platform, you will be sent your schedule via email which you can add to your calendar. You will get sent a reminder email the morning of the event and 20 minutes before, with your URL link to join the event. Don’t forget you can create your own bespoke schedule throughout the year, adding any talks that catch your eye.

PLEASE NOTE: You will need to register for the event on the link provided below to receive a joining link. If you do not, you will not be able to join the event.
RECORDINGS WILL BE ADDED TO THE SITE A FEW DAYS AFTER THE SESSION
Click here to sign up for this specific event: https://sandboxsessions.datasciencefestival.com/talks/causal-data-science-in-retail-1/?preview=1

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