At the core of analysis and visualisation is the need to work efficiently with data. This learning path is designed to build essential skills in data handling and manipulation, and to introduce attendees to the wide range of data visualisation options that are available in MATLAB. Supplementary courses are recommended for those working with large datasets, or for those who wish to build interactive applications.
Learning Path Duration: 4 – 7 training days
Statistical and machine learning techniques are used across a range of industries to describe, analyse and model data. This learning path is designed to teach attendees how to apply statistical methods and machine learning techniques in the MATLAB environment, while also building essential skills in data handling and manipulation.
Learning Path Duration: 6 – 9 training days