Exceptional courses for R Developers

R training courses
London UK & Live Online
For tech & business users, from beginner to expert

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R

3 days, classroom/online
Next course 3 Aug, London, £2,250.00+VAT
Onsite courses available on request

R with RMarkdown and Quarto

3 days, classroom/online
Next course 3 Aug, London, £2,250.00+VAT
Onsite courses available on request

R - Reporting & Dashboards with Shiny

2 days, classroom/online
Next course 17 Aug, London, £1,595.00+VAT
Onsite courses available on request

R for Life Science Researchers

3 days, classroom/online
Next course 3 Aug, London, £2,250.00+VAT
Onsite courses available on request

Feedback

4.8 out of 5 average

"I enjoyed customising the training based on our needs and implementing data similar to that which we deal with. The business intelligence section of the course was very useful and the trainer ran the course at a good pace."  ES, Assistant Executive, R for Data Analytics,  May 2021

Feedback

4.8 out of 5 average
 

"I enjoyed the in depth look into R with Shiny, and the course has given clarity over ways to improve reports, including the use of interactive charts through plotly and highcharter." HS, Executive, R with Shiny, May 2021. 

 

What you will learn with our R training course?
 

Clean, normalise and gather data from Excel, SPSS, .csv and other sources

  • Learn the basics of tidyverse
  • Perform exploratory data analysis
  • Combine ggplot2 and tidyverse to calculate meaningful summaries
  • Design effective data visualisations and produce them from your data
  • Gain an introduction to Business Intelligence and its tools
  • Gain an introduction to Web Scraping: programmatically extracting links and images from websites
  • Learn about Web Scraping with HTML and CSS
  • Automate scraping with functions and parallel programming
  • Create, obtain and design maps and geographic data
  • Visualise geographic markets interactively with the leaflet package

FAQs

Our R training portfolio includes courses for beginners through to advanced users. Topics include R programming, data analysis, data visualisation with ggplot2, tidyverse, R Markdown and Quarto, Shiny dashboards, and specialist courses such as R for Life Science Researchers. Courses are available for individuals and corporate teams.
The best course depends on your experience and the type of work you do: New to R? Start with an introductory R programming course covering the language fundamentals, tidyverse, data wrangling and visualisation. Working in data analysis or business intelligence? Choose an R for Data Analytics course to learn reporting, dashboards and automation. Creating interactive dashboards? An R with Shiny course focuses on building web-based dashboards and applications. Working in research or life sciences? A specialist R course covers statistical analysis and research workflows commonly used in scientific environments.
R courses are suitable for data analysts, business analysts, researchers, statisticians, data scientists, academics, developers, and professionals who need to analyse, visualise or report on data. They are also appropriate for organisations looking to replace or enhance spreadsheet-based data analysis with reproducible workflows.
Both languages are widely used in data analytics, but they serve slightly different purposes. R is particularly strong in statistical analysis, data visualisation and research, while Python is often chosen for software development, machine learning and production AI systems. The right choice depends on your role, existing skills and the types of projects you expect to work on. Many organisations use both technologies together.
No. Introductory R courses are designed for beginners and assume little or no previous programming experience. More advanced courses, such as those covering Shiny or advanced analytics, are intended for users who already have a working knowledge of R.
Yes. Many organisations use R for statistical analysis, business intelligence, research, reporting and data science. Private R training can be tailored to your team's experience, datasets, industry and reporting requirements, making it suitable for analytics, research and technical teams.
Depending on the course you choose, you'll learn how to import and prepare data, use tidyverse packages, perform exploratory data analysis, create professional visualisations with ggplot2, automate reports using R Markdown or Quarto, build interactive dashboards with Shiny, and work with statistical and business data more efficiently.
Yes. Private R programming courses can be tailored to your organisation's data, reporting requirements, industry and technical environment. Training can also focus on specific topics such as statistical analysis, business intelligence, Shiny applications, reporting, or research workflows

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[email protected]

 

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