Data literacy – Interpreting data through data mining
TH Köln
at any time
Record of Achievement
16 hours
Data Literacy
Data competences are a key qualification in the digital age. Being able to understand, critically question, and use data meaningfully prepares people for social, professional, and technological challenges.
Data literacy - the confident use of data - is now a key part of general education and essential for responsibly using and shaping data-driven technologies such as artificial intelligence.
On the AI Campus, you’ll find answers to four central questions: What do I want to do with data? What can I do with data? What am I allowed to do with data? And what should I do with data?
Selected courses
Data Literacy Lernvideos
STAT-UP
Deutsch
Extern
Data Literacy
Data Literacy – Basic Course Data Lifecycle
TH Köln
16 hours
Record of Achievement
4.67 (3)
German
AI Campus Original
Data Literacy
Von der Datenanalyse zur Datengeschichte
Universität Bielefeld
ca. 36 Stunden
Leistungsnachweis
Deutsch
KI-Campus-Original
Data Literacy
Data Science & Big Data
Selected blog posts
Experts
Hochschule für Wirtschaft und Recht Berlin
Visit Prof. Dr. Claudia Lemke homepage (opens in a new tab)
Hochschule für Wirtschaft und Recht Berlin
Visit Prof. Dr. Dagmar Monett Díaz homepage (opens in a new tab)
Visit Prof. Dr. Dagmar Monett Díaz LinkedIn (opens in a new tab)
Data and Algorithm Ethics
Hochschule für Wirtschaft und Recht Berlin
anytime
Record of Achievement
14 hours
Learning Analytics for Teachers
Freie Universität Berlin
TU Chemnitz
at any time
Record of Achievement
6 hours
Data literacy for primary schools
University of Bamberg
at any time
Record of Achievement
5 hours
School generates data
Junge Tüftler
Fraunhofer IAIS
at any time
Record of Achievement
8 hours
Data Literacy – Basic Course Data Lifecycle
TH Köln
at any time
Record of Achievement
16 hours
Data Literacy - Start des Micro-Degrees
Data Literacy
Data Literacy - Daten bereitstellen mit Sensoren
TH Köln
jederzeit
Leistungsnachweis
ca. 10 Stunden
Katharina Schüller
STAT-UP
Katharina Schüller studied psychology at the Technical University of Dresden and then earned a degree in statistics at the Ludwig Maximilian University of Munich. In 2003, while still a student, she founded STAT-UP Statistical Consulting & Data Science Services, which she has headed as CEO ever since. The company supports decision-makers in companies as well as politics and administration in building data strategies and data competence as well as developing data applications and models to make data-based decisions with the help of statistics, artificial intelligence and machine learning.
Schüller developed risk modelling software for the Federal Institute for Risk Assessment. This is the prototype of a programme that supports the risk assessor in creating and documenting quantitative risk models.
In 2020, it initiated the development of a Data Literacy Charter under the sponsorship of the Donors' Association for the Promotion of Sciences and Humanities in Germany, which was signed by more than 100 representatives from business, politics and science. In 2021, the IEEE Standards Association appointed her to lead an international working group to develop a global standard for Data & AI Literacy.
Schüller was also involved in the development of the app Stadt, Land, DatenFluss by the German Adult Education Association. This was created to strengthen citizens' data literacy by explaining how new data-based technologies work in a playful way.