🎓 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 (it will take
you 15 minutes): https://ee-eu.kobotoolbox.org/x/7V3qeDYD
📚 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 publicb
- have an openness to new ideas and workflows that disrupt current
practice
🎁 What do we offer?
This course is:
- Free and accessible to all
- Certificate provided for successful completion
- Open source - uses exclusively free and open source tools
- Personalized support - 1:1 coding sessions between lectures and beyond
- Project-focused - build a portfolio of real-world data analyses
- Community-driven - join the openwashdata community of practice
📢 Spread the word!
If you know someone who might be interested in this course, please
forward this email to them or share the course website:
https://ds4owd-002.github.io/website/