Mar 17, 2022 1:00pm to 4:00pm
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.
Data Science for Water Professionals online training courses, 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:
Program
The course consists of water-related case studies to provide a practice-based learning experience, following the complete data science value chain.
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 R and RStudio software on their PC or use the cloud version and instructions will be provided upon registration.
Please note there is a maximum of 12 places available for each level. Once the courses have sold out you can email Carolyn Bellamy to be put on the waiting list for future training.
Level |
Online |
Topic |
Level 1 |
Session 1: Thursday 3rd March |
Introduction to data science and the R language |
Session 2: Thursday 10th March |
Analyse water quality data |
|
Level 2 |
Session 1: Thursday 17th March |
Collecting and cleaning customer data |
Session 2: Thursday 24th March |
Analysing customer data |
Join the waitlist on the register button below for more dates or email events@waterra.com.au
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.
Cancellation and Refund Timetable |
|
5 or more working days before the event |
Cancellations will receive a 100% refund |
4 or less working days before the event |
No refunds will be issued however registrations are transferable, refer to name change details in policy |
No fee will be charged for non-attendance by members |
Event Type: | Online Workshop |
---|---|
From: | Mar 17, 2022 1:00pm |
To: | Mar 17, 2022 4:00pm |
Event Coordinator: | Jo Ohlmeyer |
<< | March 2022 | >> |
Sun | Mon | Tue | Wed | Thu | Fri | Sat |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 | 31 |