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:
|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
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.
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.
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.