Description

The handling of data is a recurring task for most scientists. Reading in experimental data, checking its properties and creating visualisations are crucial steps in the research process. Hence, increasing the efficiency in this process is beneficial for scientists. Spreadsheet based software lacks the ability to properly support this process, due to the lack of automation and repeatability. The usage of a high-level scripting language such as Python is ideal for these tasks. This course trains students to use Python effectively to do these data wrangling tasks. The course focuses on data manipulation and cleaning, explorative analysis and visualisation using some important packages such as Pandas, Matplotlib and Seaborn