Course overview
Organisations are increasingly using data-driven approaches to manage assets, optimise processes and improve environmental outcomes. Whilst spreadsheets are well-suited to analysing small datasets with simple statistical tools, more specialised software is required to explore, visualise and make sense of more complex data.
This course allows for the upskilling of analysts to work more efficiently, accurately and transparently in a widely-used package which is free, open-source, flexible and powerful. While new users with little programming experience may find R to be a steep learning curve with a not-so-helpful 'Help' system, this course has been specifically designed to give industry professionals an accessible and hands-on introduction to the software. By the end of the training, delegates will be able to:
- Undertake and manage analyses in R using the RStudio® integrated development environment
- Import data from offline and online sources, and export results and graphics in a variety of formats
- Efficiently manipulate, check and clean source datasets
- Summarise data using a range of descriptive statistics, and produce engaging, professional quality charts and graphics
- Fit and interpret simple statistical models
- Engage in continuous self-learning via the online R community
Who can benefit?
Participants may be drawn from any area of business or service which may currently rely on spreadsheets for day-to-day analysis of datasets and are looking to take their analyses to the next level. For example, scientists and engineers in utility and regulatory organisations, including those who do not have prior coding or statistical knowledge, looking for an accessible and hands-on introduction to the data analysis package R.
Training outline
*We also offer live online/in-person training of all/specific modules upon request. Please enquire via the form at the bottom of this page.
Flexible course delivery via our online leaning platform allows delegates to complete modules at their own pace and around their own schedules (equivalent of 1 day's learning). 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).
Through 11 digestible tutorials and 6 interactive practical exercises, learners will be armed with a toolbox of knowledge and skills which can be applied to their day-to-day roles. Modules include:
- The R language and environment
- Importing data and data types + Practical
- Introduction to TidyR
- Data wrangling + Practical
- Data checking and data cleaning + Practical
- Exploratory charts + Practical
- Statistical modelling techniques + Practical
- Advanced graphics + Practical
- Exporting data and results
- Online resources for self-learning
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