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Understanding Water Quality Statistics (AARDVARK)

Understanding Water Quality Statistics (AARDVARK)

Regular price
£350.00
Sale price
£350.00
Regular price
Sold out
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Course details

Drawing on expertise from statistics specialists, water quality scientists and modellers, this course arms learners with the skills to quickly and easily visualise and analyse routine environmental, drinking water and effluent monitoring data, including through use of WRc's AARDVARK software.

Duration: 1 day + 1 hour mentoring

Delivery: Online (self-paced)

This course includes the exclusive opportunity for a 1-hour 1-1 mentoring session (online video or audio call) in English with a dedicated Technical Specialist. 

Please allow 2 working days for your account details to be processed and emailed. Your details will be sent by an external online learning platform, Digital Chalk. 

We encourage card payments for a speedy turnaround. If paying via PO, please allow 5 business days for our finance team to process the payment before the learner can be registered on the course. 

Course Overview

This online course has been designed to provide water quality professionals with an accessible introduction to important statistical concepts, and to show how appropriate methods can be used to answer common questions such as:

  • Is water or effluent quality getting better or worse, or more or less variable?
  • What is the risk of non-compliance?
  • When have changes occurred and were they gradual or sudden?
  • Are we doing enough sampling…or too much?

Included within the material is training in the use of WRc's software package AARDVARK, which enables users to quickly and easily visualise and analyse routine environmental, drinking water and effluent monitoring data.

Students are able to follow the online programme at their own pace and in their own time, with concepts taught in bite-sized tutorials and reinforced by interactive practical sessions using real data. On completion of the course, each delegate will be have access to a one-to-one follow-up call, with an expert trainer and specialist in water quality statistics, to address any questions arising from the course.

Who can benefit?

Delegates may include professionals working in water quality, as well as others looking to expand their knowledge of statistical methods in relation to the water industry. The level of detail is suited to individuals who are already familiar with statistics, for example those with an analytical or statistical background, or who have completed a science, maths or engineering degree, or equivalent. 

Relevant roles may include: water quality planners and modellers; catchment managers; water quality scientists; data analysts; regulatory compliance managers; and permitting officers. 

Training outline

Through easily-digestible tutorials and practicals, delegates will be armed with a toolbox of simple statistical methods and have the knowledge and skills to apply these in their day-to-day roles:

  • Essential statistical concepts
  • Characterising and quantifying water quality, as well as testing for changes over time
  • Dealing with common data quality problems and measuring uncertainty
  • Using the AARDVARK software package
  • Understanding water quality standards
  • Compliance assessment statistical theory and practice, including detecting non-compliance
  • Classifying environmental status

The course price includes the exclusive opportunity for a 1-hour 1-1 mentoring session (online video or audio call) in English with this course's dedicated Technical Specialist. This is a great opportunity for participants to reflect on what they have learned, ask any questions, and benefit from an individual discussion with a WRc expert at a time that suits (within normal UK working hours).

If you have any questions regarding this course, please do not hesitate to contact WRc Academy.

If you have any queries, then please contact the Knowledge Store team directly who will be able to assist in providing further information. 

The price of the course is excluding VAT which will be added at the checkout.