Data School

Education

Seventeen multicoloured post-it notes are roughly positioned in a strip shape on a white board. Each one of them has a hand drawn sketch in pen on them, answering the prompt on one of the post-it notes "AI is...." The sketches are all very different, some are patterns representing data, some are cartoons, some show drawings of things like data centres, or stick figure drawings of the people involved.

Data School geeft vijfdelige cursus aan de gemeente Utrecht 

AI Act: het kruispunt van recht, technologie en ethiek  De opkomst van kunstmatige intelligentie (AI) stelt professionals in het openbaar bestuur voor complexe vraagstukken. Naast uitdagingen rond data en technologie in brede zin, is nu ook de Europese AI-verordening in werking getreden. Organisaties moeten hieraan voldoen en vanaf februari 2025 wordt het verplicht om voldoende…

Read more

Call for Participants | Summer School 2024: ‘Exploring Culture Through Data’

Are you looking for an enriching experience during your summer holidays? Do you want to broaden your horizons and learn a whole new skillset? Are you interested in working with rich datasets, but have no idea where to start? Then look no further than the Data School summer course 2024! From Monday the 5th to…

Read more

Call for Participants | Data School Summer School 2022: ‘Exploring Culture Through Data’

Are you curious, eager to learn and would you like to have an enriching experience during your summer holidays? The Data School Summer School would make a great opportunity! We are more than happy to invite you to the Utrecht Data Summer School 2022. From Monday the 15th until Friday the 19th of August, Data…

Read more

Practicum

Practicum Data School offers a comprehensive introduction to data collection, data analysis and visualization. In a ten-week course (level 3), students experience the process of going from (big) data to knowledge. Through practical tutorials, students learn to work with various programs such as Excel, R, Tableau and Gephi. In addition, the course places the new…

Read more

Ethics Colloquium

The Data Science Ethics colloquium is a biweekly series of meetings, organized throughout the year, which consist of  A lecture on ethical and legal aspects of data science projects A discussion session in which the students reflect on the lecture  

Read more

Personalisation for (public) media

Recommender systems are an integral part of our daily media consumption: they compile playlists on Spotify, suggest movies on Netflix, and select (news) content for personalized social media feeds on e.g., Facebook or Twitter.  In the age of information overload, recommender systems provide orientation and help users with making choices. Through data collection and statistical…

Read more

Data Mining

Cultural analytics concerns the use of data and digital methods for the inquiry of (large) cultural corpora. Using text mining and statistical analysis with R, exploratory programming and digital methods, students will employ data mining techniques on text, image or video archives. The objective is to develop insights into patterns of cultural production and media…

Read more

Onderwijs voor professionals

Life Long Learning is een speerpunt van Universiteit Utrecht. Data School ontwikkelt en verzorgt onderwijs voor professionals, op het gebied van verantwoorde datapraktijken, publieke debatten en de (sociale) media. Alle trainingen zijn beschikbaar in het Nederlands en het Engels. De workshop met De Ethische Data Assistent is daarnaast ook beschikbaar in het Duits. Een aanbod…

Read more

MSc Applied Data Science

Binnen het masterprogramma Applied Data Science verzorgt Data School de cursus Data Mining, Personalisation for (public) media en het doorlopende Ethics Colloquium. Omdat de master Engelstalig is, worden de genoemde cursussen in het Engels gegeven. Meer informatie over de master en inschrijving is te vinden op deze pagina: Applied Data Science

Read more
Do you have any questions or feedback? Please let us know! Contact EN
Feedback

Feedback form

Feedback