Sheffield Data Analytics User Group meets in person in Sheffield, England, and is a user group focused on the Microsoft and Azure ecosystem. We discuss topics related to data analysis and engineering, visualisation, and data science using MS Fabric, Power BI, Databricks, Microsoft Azure tools and services and, more.
The user group is open to anyone who wants to learn more about data analytics, whether they are a beginner or an expert. We meet every other month on a Wednesday in the evening at the Electric Works building. It's close to the central train and bus stations with easy access to parking. Each meeting features a mix of presentations by guest speakers, Q&A sessions and, a chance to chat, network and grab some (free) food.
We’re keen to keep a local element to the group so if live or work in the area or, you're a user group regular and have your own projects, challenges or ideas to share as anything from a short lightening talk to a full hour-long session we’d love to hear from you. First time and inexperienced speakers are welcome, we’re a friendly group with a number of experienced presenters to hand if you need some support or mentorship.
The code of conduct for Azure Tech Groups will apply for all Speakers, Attendees and Group Leaders: https://developer.microsoft.com/en-us/azure-tech-groups/code-of-conduct
We're open to any session that may be of interest to our attendees, they're a wide mixture from undergraduates dipping their toes into the world of data analytics for the first time through to hardcore data types.
We hope to run a mix of both overviews and deep dives into relevant technical subjects and also to keep ourselves up to date on new features and developing technologies.
We are also keen to run sessions on softer skills related to working in the tech world.
Sessions should be delivered in person and, while we expect the most common formats to be either a 50 minute session with Q&A or a shorter 20 minute one, we are open to experimenting with other formats.
Planned meeting dates are:
We're passionate about helping to build the data community and welcome inexperienced and first time speakers and those based in the local area. Should you want it we are able to provide support and mentorship to help you prepare for your session.
If you haven't logged in before, you'll be able to register.
Using social networks to login is faster and simpler, but if you prefer username/password account - use Classic Login.