Teaching data curation / knowledge management for data scientists #data-science
Hi everyone …
I’ve been developing a 12-month taught masters degree syllabus in data science. The course has the objective of training complete data scientists, who will learn how research works through the application of analytical tools to appropriate case-studies.
The links to the first four lessons are below (out of an eventual 20 plus 4 electives). They cover a solid grounding in data lifecycle management and I’d appreciate your thoughts and feedback on the work to date.
Each lesson is structured around, and defined by, the following four topics:
The initial pedagogy and lesson outcomes were funded with a small grant from the Gates Foundation, and I’ve been developing it slowly ever since as different clients fund the extension.
As background, Data as a Science is based on the Sloyd model of technical training. Each lesson starts with a research question, and progresses by teaching a complete, and practical, set of skills. Case-studies and tutorials are drawn from biomedical science and public health, and the course is accessible to anyone with an interest in data. If you’re interested in all the lesson outcomes, you can see them it the Github repository for the course: https://github.com/whythawk/data-as-a-science/issues
Thanks, and I hope you find it interesting.
Gavin Chait is a data scientist and development economist at Whythawk.