openwashdata academy
The mission of this community is to empower WASH professionals to engage with tools and workflows for open data and code. To fullfil this mission, we offer learning events that are free for anyone to participate in.
🎓 data science for openwashdata - 002
We’re doing it again! Two years after our first iteration, we’re running the “data science for openwashdata” course again.
The course content will largely stay the same with a few distinct differences:
We will provide recordings of the live lectures, but expect you to complete a new homework quiz within two weeks after the lecture.
We will teach the bonus module: “Use of AI for coding support”.
We are starting a mentorship programme for increased learning and support.
We offer language support for Spanish speakers.
🚀 You can’t wait?
Sign-up here: https://ee-eu.kobotoolbox.org/x/7V3qeDYD (it will take you 15 minutes)
📚 You need more info?
Find the course website here: https://ds4owd-002.github.io/website/
📊 You’re interested in some statistics from the first iteration?
Read Adriana’s blog post: https://openwashdata.org/pages/blog/posts/2025-07-07-ds4owd-001-analytics
🤔 Who can participate?
To participate in this course, you need to:
- be somewhat connected to the greater Water, Sanitation and Hygiene (WASH) sector (yes, public health, solid waste management, global health engineering, and related topics also count)
- commit 9 × 2.5 hours to participate in Zoom calls
- commit another 3 hours/week for readings and additional exercises for practice
- identify a dataset of your own or your organization that you’re interested in sharing with the public
- have an openness to new ideas and workflows that disrupt current practice
🎁 What do we offer?
This course is:
- free
- provides you with a certificate for successful completion
- uses exclusively tools that are free and open source
- offers 1:1 coding support between lectures and beyond the course ✨
📢 Spread the word!
If you know someone who might be interested in this course, please forward this information to them or share the course website: https://ds4owd-002.github.io/website/