Data Science for WASH - An opportunity for the sector

Join this 1-hour workshop to get started

Lars Schöbitz https://www.lse.de (Lars Schöbitz GmbH)https://www.lse.de , Georges Mikhael https://www.linkedin.com/in/georges-mikhael-340996140/ (Aguaconsult Ltd.)https://aguaconsult.co.uk/

👋 Welcome

These materials were prepared for a workshop hosted at the Colorado WASH Symposium 2021. The symposium is finished, but I will continue to host the workshop on Zoom.

🎥 Recording

This video is a recording of the workshop hosted on 28th April 2021. You can use it to:

  1. learn about the motivation for this initiative,
  2. follow the instructions and complete the exercises,
  3. get inspired and click here to sign up for another round on 4th November 2021 to ask some questions

📆 Details

Have you missed it? Zoom Meeting Link to sign up for another round on 4th November 2021.

✏️ Prework

We assume that you have:

  1. Created a free account on RStudio Cloud (create one here)
  2. One of Mozilla Firefox, Safari, Google Chrome, Microsoft Edge (just not the Internet Explorer)
  3. Read the Code of Conduct for this workshop

We do not expect any prior knowledge of using R or RStudio.

🏁 Objectives

As part of the workshop you will:

Acknowledgments

This is website made with the distill package and is inspired by the layout of Teaching in Production by Alison Hill.

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/larnsce/co-wash-symposium-2021, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".