Course outline

Ricardo’s openair masterclass is designed to help you gain the skills you need to become a confident air quality practitioner. The 3-day course will cover the below topics:

Description Topics Covered
Day 1 – R & openair bootcamp  
On day 1 you’ll be introduced to the R programming language and the openair toolkit. You’ll quickly be brought up to speed with the necessary skills to import and handle data within R, immediately working with air quality and meteorological data from around the world. You’ll learn about the key tools available via openair and, by the end of the day, be putting your data skills into action by investigating real air quality data. Intro to R and RStudio
Working with data in R
The openair way
Accessing air quality and meteorological data
Day 2 – Advanced air quality data tools  
On day 2 you’ll explore use of more advanced tools to gain further insight from your data. You’ll be introduced to openair’s directional analysis tools and learn to create and interpret polar plots. You’ll learn about openair’s clustering approach and how to use it to further your understanding of local air quality. You’ll also learn more about trend analysis and the use of powerful ‘meteorological normalisation’ techniques to remove the influence of meteorology in air pollution trends; a technique which is useful for quantifying the effects of air quality interventions. We’ll also cover additional data handling approaches for different kinds of data to streamline your analysis workflow. Directional analysis with polar plots
Cluster analysis
Trend analysis and meteorological normalisation
Advanced data analysis skills

Day 3 – Over to you…  
On day 3 we’ll bring together everything we’ve learned so far:
- First, you’ll be guided on best practice for structuring a data analysis project in R. Next will be an introduction to R Markdown, a seamless way to produce attractive, reproducible reports from within RStudio.
- Then you’ll take the lead, using your own data. David and Jack will be on hand to help you work with your own data and answer related questions.
- By the end of the final day, you’ll have experience of using openair and R whilst working with your own data, interpreting results using advanced tools and techniques for better insight, and be ready to apply this knowledge in your everyday work and continued future use of R and openair.

Attendees are encouraged to bring their own data on day 3 to work with in practice exercises.
Structuring a project in R and RStudio
Preparing interactive, reproducible documents with R Markdown
Working with your own data

*Lunch and refreshments will be provided for all three days of training.

Training approach

Ricardo’s openair and R masterclass combines modern, effective teaching methods with years of experience in training air quality professionals in data analysis. Attendees learn through a combination of presentations, discussions, and group work, with plenty of chances to ask questions and explore individual interests. Training is structured to provide learners with ongoing opportunities to put learning into practice using their own data, where possible.

A key approach of the masterclass is to centre the needs of our attendees, with much of the third day focused on one-on-one support from tutors. Course numbers are limited to ensure that there is sufficient time for every learner to get individual help with their specific data problems. The in-person format allows tutors to provide personalised help more effectively, and for attendees to better participate in discussions, work together and learn from one another.

Course materials

To help attendees apply the new knowledge and skills acquired from training in their everyday work, enrolled attendees will be given access to a course materials portal where learners can access files, links and documents shared by tutors throughout the course and up to 6 months following training. All code and outputs shared during the course are fully reproducible, allowing course content to be recreated and built upon in future, following completion of the course.

*Nb. Attendees are expected to bring their own laptop to participate in course training. This is done to encourage effective future use of software and provide learners with easy access to data sets of interest directly from their machines.

To register or more information on Ricardo's openair and R masterclass in-person training, please register your interest here.

Openair/R in-country training (groups of 10+)

Ricardo has delivered in-country, tailored openair and R training for a range of organisations based in Denmark, Spain, Ireland and Scotland. Course trainers can tailor content to suit the needs of a particular organisation, partnership or consortium, working closely with the organisation/partners to develop a programme suited to addressing common needs and challenges participants may encounter in their particular field or sector.

Comprehensive training materials will be provided as part of the course and to maximise the relevance of training, ample time will be given to practical exercises where participants use their own data to practice techniques. To discuss how openair can work for you and your team and/or affiliates, please contact us using the form on this page, specifying your training requirements.

*Please note, this service is more suited to groups of 10 people are more. For any questions or if you would like more information, please do get in touch.

Course ratings

Feedback scores for previous openair and R data training courses delivered by David and colleagues were rated at 97.6% or above, by attendees for the following criteria:

  • Overall opinion of the course (including organisation, interest and enjoyment).
  • Overall opinion of the lecturers (including knowledge, ability to stimulate interest and ability to explain concepts).
  • Course materials (covering lectures and on-line material).

“Hugely one of the most relevant courses I have attended for modelling, data analysis, [and] engineering." / "Absolutely, very confident I can revolutionise how I do much of my work.”
B. Kelly, Hydrock

“This course covers lots of useful ways to process air quality data.”
S. Goddard, National Physical Laboratory  Read more