We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Introductory data science across disciplines, using Python, case studies, and industry consulting projects.
- Authors
Lasser, Jana; Manik, Debsankha; Silbersdorff, Alexander; Säfken, Benjamin; Kneib, Thomas
- Abstract
Data and its applications are increasingly ubiquitous in the rapidly digitizing world and consequently, students across different disciplines face increasing demand to develop skills to answer both academia's and businesses' increasing need to collect, manage, evaluate, apply and extract knowledge from data and critically reflect upon the derived insights. On the basis of recent experiences at the University of Ttingen, Germany, we present a new approach to teach the relevant data science skills as an introductory service course at the university or advanced college level. We describe the outline of a complete course that relies on case studies and project work built around contemporary data sets, including openly available online teaching resources.
- Subjects
GERMANY; DATA science; PYTHON programming language; CASE studies; UPPER level courses (Education); UNIVERSITIES &; colleges
- Publication
Teaching Statistics, 2021, Vol 43, Issue 1, pS190
- ISSN
0141-982X
- Publication type
Article
- DOI
10.1111/test.12243