DATA CLEANING IN MATHEMATICS EDUCATION: TEACHING STATISTICAL METHODS OF OUTLIER DETECTION

Jakim Eckert, Sarah Schönbrodt, Martin Frank

Keywords: Data Cleaning, Outlier Detection, Data Science, Design Research, Jupyter Notebooks

Short Summary: Data cleaning is a daily task for data scientists and has a significant impact on data-driven algorithms. It also has great potential for data science education. This paper presents some insights from our design research project. More precisely, it presents developed learning material about the mathematical foundations for outlier detection.

Topic Area: Data and Problems

Presenting Author: Jakim Eckert

Presentation Type: Short Presentation (ca. 20 min)

Submission Number: 15