Teaching Data Science with The Carpentries

“Teaching Data Science” was a train the training course aiming a data science trainers in Colombia. The course was held in the University of Los Andes in downtown Bogota, Colombia on 22nd and 23th October. Thanks to funding from the Royal Academy of Engineering in the UK, the course was free for participants.

The course was tough by two experts on data science and teaching from Earlham Institute. The training was free-to-attend thanks to a grant from the Royal Academy of Engineering. Internal flights and accommodation in the University’s student residence were provided to the attendants from outside Bogota DC on standard Grant conditions in order to foster equality and the development in peripheral regions of Colombia.

This course touch pedagogical techniques to participants on how to instruct third parties to work with their data and software in an efficient and reproducible way. As well as familiarize the participants with the syllabus and the teaching system of The Carpentries, including simulated practices in pairs and groups.

The training was attended by 22 permanent staff from 8 different Universities and four research institutions. Staff included Professors to support staff. The final 22 attendants were selected from approx. Eighty applicants based on the potential to use the training in the future to develop data science training events in their own institutions.

This event directly contributed to improve the development and availability of tools and computational services for data-intensive scientific innovation in Colombia and to develop people skills and competences in data science. Particularly, this two-day class fulfilled the following: (1) introducing the participants to evidence-based best-practices of teaching, (2) teach the participants how to create a positive environment for learners at data workshops, (3) provide opportunities for the participants to practice and build their teaching skills in roleplaying exercises, (4) helping them become integrated into the global data science community that uses the open access “Carpentries” syllabus to teach.