King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our materials are specifically based on R's Swirl library (http://swirlstats.com/). Swirl provides an interactive question-and-answer learning environment, in which the user may be guided through learning the syntax of R, the use of specific data science libraries, or the exploration of individual data sets. Swirl courses are essentially archives of interactive content, that combine instruction, data and code and even multimedia elements. Swirl is best used within Rstudio, a freely available desktop or browser-based R environment that can embed visualisations. King’s College London Interactive Environments comprise:

• an Rstudio docker image
• a VirtualBox appliance that includes all the required R packages
• Swirl courses for supporting teaching at the Department of Digital Humanities, King's College London

In the introduction to R, King’s College London has released numerous datasets and is using this environment within a Master Degree on Big Data at King’s College London.

The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact [email protected] and we will immediately remove it