Unlocking research data management platform openBIS with Jupyter & pyBIS: a self-paced introduction to programmatic data analytics in openBIS
| Introduction openBIS & pyBIS online-001 | |
| 03.03.2026 - 12.03.2026 | |
| 10 days | |
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| End of registration period: 27.02.2026 | |
| Online course | |
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| 3 | |
| 10 | |
| free of charge | |
| self-paced, online | |
| Experimental scientists working in research labs (master and PhD students, postdocs, staff scientists). The course is also open to openRDM.swiss customers. | |
| English | |
| This self-paced, online, hands-on course is designed for advanced beginners and intermediate programmers with basic Python knowledge, aiming to enhance their skills in data management and analysis using Jupyter with openBIS and openBIS JupyterHUB. | |
| This on-line, self-paced, course will cover the basics of scientific data management and analysis using Jupyter Notebook and pyBIS (python module) within the research data management platform openBIS framework. The participant will have 10 days to finish the training. | |
Topics covered:
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| This self-paced, online, hands-on course is designed for advanced beginners and intermediate programmers with basic Python knowledge, aiming to enhance their skills in data management and analysis using Jupyter with openBIS and openBIS JupyterHUB. | |
| The course is offered as part of ETH Scientific IT Service's mandate to provide research data management support for scientists at ETH Zurich. For details see: https://sis.id.ethz.ch/services/#research-data-management. | |
| The access to the training openBIS and JupyterHUB servers will be provided to participants on the course. |