Over ons
Data Intelligence Network is a welcoming community across Brighton, Bristol, Manchester, London, Birmingham, and Portsmouth.
Alongside our groups, the annual EARL Data Intelligence Conference brings together international delegates. With 200+ attendees across 3 days, workshops from leading experts, and an evening party to remember - book tickets here!
All tools, languages, and industries are welcome — from Python and R to SQL, BI, and beyond. Our group aims to provide a friendly atmosphere where talks, knowledge, and community is shared.
The network is supported by Datacove (https://datacove.co.uk) - focused on Marketing and Consumer Analytics, Data and Visualisation Applications, and Community - whether it's a plug-in data team you're after, or training, we are your Data and Analytics Partner.
To keep the group accessible and growing, we’re actively seeking group sponsorship to support venues, speakers, and events. If you’d like to get involved please contact us at admin@datacove.co.uk.
We look forward to welcoming you to our Data Intelligence Network.
Aankomende evenementen
8

BrightonPy: Data Intelligence Network | Mar 2026
Platf9rm, Floor 5, Tower Point, 44 North Rd,, Brighton, GB------ Welcome, Brighton Data Intelligence Network Users! ------
We’re a friendly community where all tools, languages, and industries are welcome — from Python and R to SQL, BI, and beyond. Our group aims to provide a friendly atmosphere where talks, knowledge, and community is shared.
This event is brought to you by Datacove. We are a Data and Analytics Consultancy Team based in Brighton, working across Customer Analytics, Shiny and Reporting, Marketing Analytics and Process Automation.
We are supported by Silicon Brighton, Barclays Eagle Labs and Plat9rm Brighton.
------ Talk Information ------
Want to share your knowledge?- Talk about an impactful project you've worked on at your company.
- Reflect on an exciting or unexpected moment while learning about data.
- Share a small personal project you're proud of.
- Dive into a unique challenge you tackled with R or Python and the lessons you learned.
Get in touch to speak at one of this year's meetup events
admin@datacove.co.uk------ General Information ------
Now, refreshments! Drinks and pizza will be served from 6pm. Talks will commence at 6:30pm/6:45pm and the event will conclude at 8:00pm.
The conversation will continue after the event at a local pub – obviously!Please feel free to register guests and spread the word. We look forward to seeing you all again!
7 deelnemers
Introduction to R Shiny Training Course
Locatie nog niet gespecificeerdPlease note: signing up to this event does not mean you are booked onto the course. For full details and booking information, please visit Cademy.
Introducing Datacove
Datacove are a Data and Analytics Consultancy Team based in Brighton, with experience in founding many well-attended R & Python events. Plus, home of the EARL Conference! We work across multiple streams - from marketing and consumer analytics, to bespoke dashboards, process automation, and training! :)
Introduction to R in Shiny
Thursday 19th March, online 10am-12pm.
£99 + VAT
Understand what Shiny is and when to use it- What Shiny does, how it fits into the R ecosystem, and common use cases (apps, dashboards, internal tools, data products)
- Differences between static R outputs (plots, reports) and interactive Shiny applications
Learn the basic structure of a Shiny application
- The roles of ui and server components
- How shinyApp() brings the UI and server together
- File structures for a multi-file Shiny app
Build user interfaces with Shiny layouts
- Using layout functions such as fluidPage() , sidebarLayout() , sidebarPanel() , and mainPanel()
- Organising content with rows, columns, tabs, and panels
- Adding titles, text, and spacing for clean, readable app design
Work with Shiny input and output elements
- Common inputs (sliders, dropdowns, text inputs, buttons, checkboxes)
- Displaying outputs such as plots, tables, and text
- Connecting inputs to outputs through the server logic
Introduction to Shiny’s reactive programming model
- What reactivity is and why it matters in interactive apps
- How Shiny automatically updates outputs when inputs change
Create a foundation of a complete, working Shiny app
- Combining UI layouts, inputs, outputs, and reactivity into a functional application
- Running and testing apps locally
- Leave with a foundation app, ready to learn more advanced content to build upon.
Be ready to build your first dashboard or application
- Understanding next steps, such as theming, modules, and deployment options
How to Join
Please visit Cademy to book your space.1 deelnemer
BrightonPy: Data Intelligence Network | May 2026
Platf9rm, Floor 5, Tower Point, 44 North Rd,, Brighton, GB------ Welcome, Brighton Data Intelligence Network Users! ------
We’re a friendly community where all tools, languages, and industries are welcome — from Python and R to SQL, BI, and beyond. Our group aims to provide a friendly atmosphere where talks, knowledge, and community is shared.
This event is brought to you by Datacove. We are a Data and Analytics Consultancy Team based in Brighton, working across Customer Analytics, Shiny and Reporting, Marketing Analytics and Process Automation.
We are supported by Silicon Brighton, Barclays Eagle Labs and Plat9rm Brighton.
------ Talk Information ------
Want to share your knowledge?- Talk about an impactful project you've worked on at your company.
- Reflect on an exciting or unexpected moment while learning about data.
- Share a small personal project you're proud of.
- Dive into a unique challenge you tackled with R or Python and the lessons you learned.
Get in touch to speak at one of this year's meetup events
admin@datacove.co.uk------ General Information ------
Now, refreshments! Drinks and pizza will be served from 6pm. Talks will commence at 6:30pm/6:45pm and the event will conclude at 8:00pm.
The conversation will continue after the event at a local pub – obviously!Please feel free to register guests and spread the word. We look forward to seeing you all again!
3 deelnemers
Verleden evenementen
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