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 2-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.
You will then focus on working with actual data, such as survey data, time-series data, JSON data (e.g. Twitter data), and geo-spatial data. This will include visualization and statistical analysis of numerical data
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. Short lectures will be interspersed with hands-on practical exercises with plenty of opportunity to work with your own data and seek advice regarding your own projects.
Introduction to R (Leeds)
Half day course
This half-day course, aims to provide you with an introduction to the analytical programming language R. The course will focus on data pre-processing and visualisation, two of the key steps in understanding and generating insights from data.
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.
Specifically, you will work with R and its various packages to import, clean, manipulate and visualise real world data. The course assumes no prior knowledge of R or statistics.
Geocomputation and Data Analysis with R (Leeds)
2 day course
The aim of this course is to get you up-to-speed with high performance geographic processing, analysis and visualisation capabilities from the command-line. The course will be delivered in R, a statistical programming language popular in academia, industry and, increasingly, the public sector.
It will teach a range of techniques using recent developments in the package sf and the ‘metapackage’ tidyverse, based on the open source book Geocomputation with R (Lovelace, Nowosad, and Meunchow 2019).
Introduction to Data Science, Ethics and AI (Leeds)
2 day course
This two-day programme has been designed by the Consumer Data Research Centre at the Leeds Institute for Data Analytics to provide a series of ‘taster’ sessions which introduce core applications in data science, from programming and AI to data ethics.
The programme purposely draws upon expertise across multiple disciplines and faculties in order to reinforce the benefits of multidisciplinary and collaborative data analytics.
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.