Product description

Ricardo’s openair and R data analysis training course is a 3-day intensive course delivered by Dr David Carslaw, lead developer of openair. As one of the original developers of the software, David and his team of air quality experts are ideally-placed to offer users practical training on how to approach data analysis; the best tools and techniques to use to yield the most insight; and how to critically review and interpret data in a meaningful way.

·         Become an expert user of openair software,

·         Write and test your own analysis queries,

·         Critically analyse data sets using specialist tools and techniques,

·         Share and collaborate with other users to develop new tools and solutions.

A large proportion of the course consists of practical exercises during which users will benefit from the opportunity to practise advanced analysis techniques and approaches using their own data. Learning within a familiar context encourages better understanding and knowledge retention.

Who should attend?

The course is aimed at new and existing users in local/central government, industry and academia with a need to analyse and interpret air pollution data.

This course is designed as a foundation level for beginners with no previous experience of using R. However, it will also be of benefit to established users in need of refresher training or one-to-one advice and guidance.

“Hugely one of the most relevant courses I have attended for modelling, data analysis, [and] engineering.” 
B. Kelly, Hydrock

“I have a good overview of what can be done with my air quality data.” 
S. Goddard, National Physical Laboratory

“I feel comfortable using R for data analysis now.” 
J. Tompkins, National Physical Laboratory

“Absolutely, very confident I can revolutionise how I do much of my work.” 
B. Kelly, Hydrock

“I will be able to provide various plots for papers & reports and gain greater insight into pollution sources with cluster analysis.” 
S. Goddard, National Physical Laboratory

Relevant to:
  • Energy & Environment
Topics:
  • General
Training

Openair and R data training

Duration: 3 days Location: London Location details: The office is next London Paddington station. There is no space for parking Training type: In person
Date
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Details

Ricardo’s openair and R data analysis training course is a 3-day intensive course delivered by Dr David Carslaw, lead developer of openair. As one of the original developers of the software, David and his team of air quality experts are ideally-placed to offer users practical training on how to approach data analysis; the best tools and techniques to use to yield the most insight; and how to critically review and interpret data in a meaningful way.

·         Become an expert user of openair software,

·         Write and test your own analysis queries,

·         Critically analyse data sets using specialist tools and techniques,

·         Share and collaborate with other users to develop new tools and solutions.

A large proportion of the course consists of practical exercises during which users will benefit from the opportunity to practise advanced analysis techniques and approaches using their own data. Learning within a familiar context encourages better understanding and knowledge retention.

Who should attend?

The course is aimed at new and existing users in local/central government, industry and academia with a need to analyse and interpret air pollution data.

This course is designed as a foundation level for beginners with no previous experience of using R. However, it will also be of benefit to established users in need of refresher training or one-to-one advice and guidance.

“Hugely one of the most relevant courses I have attended for modelling, data analysis, [and] engineering.” 
B. Kelly, Hydrock

“I have a good overview of what can be done with my air quality data.” 
S. Goddard, National Physical Laboratory

“I feel comfortable using R for data analysis now.” 
J. Tompkins, National Physical Laboratory

“Absolutely, very confident I can revolutionise how I do much of my work.” 
B. Kelly, Hydrock

“I will be able to provide various plots for papers & reports and gain greater insight into pollution sources with cluster analysis.” 
S. Goddard, National Physical Laboratory