Hi Susanna, thanks for your interest. No, we do not assume any prior knowledge in R, RStudio, Git, or GitHub. The course is conceptualised for novices. Best, Lars

Hello Lars, thank you for sharing this great news about the  free course on data science with R for the WASH community. Is a basic level of R Studio proficiency required to understand the class well?
thank you.

Susanna 

Hi Lucas, how can I support you? Can you share a screenshot of the issue you have with signing up for GitHub? You can also reach out by email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Hello Meen, thanks for your interest. You can sign up here:

ds4owd-001.github.io/website/

Dear all. Could someone kindly assist? I have difficulty getting into GitHub to enroll for the course.
Lucas

Thank you for this initiative. I will gladly join

Helloo! Realy I want to follow this course. Is it possible for me?

Dear Sir/ Madam, I want to take part in this online free course. Regards Meen

Hi Everyone, we have launched a new course.

We will meet on Zoom for 10 modules over 15 weeks at the following times:

• Start: 31st October 2023 - 2 pm to 4:30 pm CET
• End: 6th February 2024 - 2 pm to 4:30 pm CET

You can find all details about this course and how to sign-up for it here: https://ds4owd-001.github.io/website/

To participate in this course, you need:

• to have a stable internet connection
• to somewhat be connected to the greater Water, Sanitation and Hygiene (WASH) sector (yes, public health, solid waste management, global health engineering, and related topics also count)
• to commit 10 * 2.5 hours to participate in Zoom calls
• to commit another 2 hours/week for readings and additional exercises for practice
• to identify a dataset of your own or your organisation that you are interested to share with the public
• an openess to new ideas and workflows that disrupt current practice

This course is:

• free
• provides you with a certificate for successful completion
• using exclusively tools that are free and open source
• offers 1:1 coding support between lectures and beyond the course