Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of undergraduate and graduate training programs. Here, we present four modules for teaching ethics in data science, with real-world case studies related to ecological forecasting.  See the module topics in the description below. The material was originally published in Teaching Issues and Experiments in Ecology (TIEE), Vol 19, Practice #13. Dec 2023. https://tiee.esa.org/vol/v19/issues/case_studies/lewis/abstract.html In addition to having this material in TIEE, we are sharing these resources in QUBES to expand the scope of potential users.  TIEE approved us sharing the material in both places.  Note that TIEE does not provide DOIs for the published materials, but QUBES does. We include both pdfs and word documents for the essay assignments, class handouts, and pre-reading materials. The Full Article Text provides the student-active approaches and cognitive skills, the case studies, the background materials, and instructions for the instructors and the students for each of the four modules.