Introduction to Statistics in R
Duration: 1 day
Delivery: Online* (self-paced + 1hr mentoring)
Read moreDuration: 2 days
Delivery: Online (live)
Register your interestThis programme provides an introduction to key concepts, showing how statistical methods can be used to answer questions that arise in the context of water quality. Learners can expect to:
Delegates' understanding is enhanced by learning from a vast knowledge pool; the course is primarily delivered by a statistics specialist, alongside additional WRc trainers who bring their expertise in water quality modelling and compliance.
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. Relevant fields include monitoring, sampling, reporting, planning, compliance or permitting. Examples of specific roles could be, but are not limited to, water quality planners and modellers, catchment managers, water quality scientists, data analysts, regulatory compliance managers, and permitting officers.
Participants may also be drawn from any area of business or service where improving skills in statistics and data analysis is important for supporting their career development.
This course is split over four chapters: basic statistical concepts; statistical interference; regression and time series, and; compliance and assessment. Upon completion, attendees will be able to: