Event Description 

Data Science in Practice is a series of 4 events that emphasise the journey to a solution rather than the solution itself, as well as the mistakes along the way rather than the successes. 

Designed to foster collaboration and knowledge exchange, Data Science in Practice extends beyond the physical events. It encourages participants to engage in informal discussions and smaller group interactions between events, promoting continuous engagement and a robust network. 

Are you missing 

• Case studies and real-world applications of data science? 

• A community of like-minded professionals where you can share and learn about the challenges of working with data science? 

• Insights into the latest trends and technologies in data science? 

• Access to leading professionals and thought-provoking discussions? 

Whether you are working with data management, model deployment, or the entire MLOps process, Data Science in Practice is a space for you.

Each event features leading professionals, interactive sessions, and ample networking opportunities. 

Format 

Each event is planned to last approx. three hours as:  

• The first 1.5 hours is a structured format (presentations, panels, workshops) 

• The last 1.5 hours is an unstructured format (unconference, networking) 

To accommodate accessibility to the events no matter if your work allows such networking within work hours or not, two events run within work hours from 13:00-16:00 and two events run after work hours from 16:00-19:00, providing equal options to participate despite sector.  

Our goal is to have 20-40 participants per event. 

While participation in each event is not mandatory, keeping in mind that building a strong network requires time and dedication. Regular attendance will help you forge meaningful connections and maximize the benefits of these networking opportunities.