This intensive, 2-day course has been designed for scientists and engineers in utility and regulatory organisations who currently rely on MS Excel and are looking to take their analytical skills to the next level.
Organisations are increasingly using data-driven approaches to manage assets, optimise processes and protect the environment. Whilst spreadsheets are well suited to analysing small datasets with simple statistical methods, more advanced tools are required to explore, visualise and make sense of larger, more complex datasets.
R is a state-of-the-art, open source programming language and software environment for statistical computing and graphics. Due to its power and flexibility, R is now the software package of choice for data analysts working in business, government and the third sector, and is supported by a vast and talented R user community. It's also completely free!
You will learn to:
- Install and update the R software and associated add-on packages
- Import data from offline and online sources
- Efficiently manipulate, check and clean source datasets
- Summarise data using a range of descriptive statistics
- Produce professional quality charts and graphics
- Fit and interpret predictive statistical models
In addition to the course, you will receive a comprehensive course booklet and free follow-up telephone support to answer ongoing questions.
The course assumes some knowledge of basic statistical concepts, but no experience of using R.
Some prior experience of coding is useful but not essential.
For more information or to book your place on the course please visit the course details page, contact Vicki Bewes on 01793 865194 or email firstname.lastname@example.org