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Data Science for Water Professionals - Level 1

Managing reliable water services requires not only a sufficient volume of water but also significant amounts of data. Water professionals measure the flow and quality of the water and how customers perceive their service. This course presented by Peter Prevos teaches the basics of data science using the R language to analyse water management problems. The skills learned in this course are fully transferable to other data science languages such as Python or Julia.

Learning Objectives


In this course water professionals will learn how to write data science code to solve urban water management problems, including how to:

  • Apply the principles of strategic data science to solve water problems
  • Understand the principles of writing sound code
  • Write R code to load, transform, analyse and visualise data
  • Develop presentations, reports, and applications to share results


Program

The course consists of water-related case studies to provide a practice-based learning experience, following the complete data science value chain.

   Online  Topic
 Level 1  Session 1: 6 June 2023  Introduction to data science and the R language
   Session 2: 13 June 2023  Analyse water quality data



Prerequisites
Participants do not need to have any experience with writing computer code. However, some experience with analysing data is preferable.
Participants will need to install the RStudio software on their PC or use the cloud version and instructions will be provided upon registration.

Cost
WaterRA Members - $250 (inc GST)
Non-members - $495 (inc GST)

 

Full details including links to the course will be sent to registered attendees.

The course will be recorded and the recording will be provided to registered attendees within 7 business days after the event.

Our member rate is for WaterRA members only. Not sure if you're a member? Check our member listing here.

 

Registration now open. Login or create an account to register.

 

When
6/06/2023 1:00 PM - 4:00 PM
AUS Eastern Standard Time
Registration is closed.

Program

Tuesday, 06 June 2023

Description
Time
1:00 PM - 4:00 PM
1:00 PM

Tuesday, 13 June 2023

Description
Time
1:00 PM - 4:00 PM
1:00 PM
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