Upcoming courses
We’re currently running a number of online courses and hope to resume face to face training as soon as possible.
Beginners Python (Leeds)
2 day course
This two-day course provides an introduction to Python programming with a focus on data analytics. The course will introduce some basics in Python programming such as data types, basic operations, data sequences and data structures, control flows, exceptions and object-oriented programming.
Tableau Workshop on data visualisation (Leeds)
1 day course
This course introduces participants to sophisticated spatial analysis and spatial modelling approaches (regression and industry-standard spatial interaction (or gravity) modelling) that can be used to understand retail sector dynamics, focusing on the analysis of complex interactions between retail supply and demand.
Spatial Analysis for Public Health Researchers (Leeds)
1 day course
As spatial data sets get larger, more sophisticated software needs to be harnessed for their analysis. This course introduces the basics of how R can be used for spatial data to generate a map of public health data (in a licenced and open source software).
Introduction to QGIS (Leeds)
1 day course
This one-day online course provides a practical introduction to QGIS: a free, open-source Geographic Information System. You will learn the principles underpinning vector-based geographic data analysis and learn to undertake tasks such as sourcing, loading and interrogating data; creating professional map outputs, preparing geographic data sets and undertaking spatial analysis.
Introduction to R (Leeds)
Half day course
This half-day course aims to provide you with an introduction to the analytical programming language R. During the course you will learn about the benefits of R, how it handles different data types and how you can begin to use R to solve complex data science, machine learning and statistical problems.
Intermediate R (Leeds)
1 day course
This one-day course will follow on from the introductory course in April 2019 to the analytical programming language R. The course will focus on more advanced uses of R: parallelisation, reporting, interactive web apps with Shiny in R, and use of R on the Cloud using MS Azure.