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Tableau Workshop

Date
, 9:30am - 4:30pm
Category

Please note that only emails ending .ac.uk will be taken into account for bookings on this course. This 1-day interactive course provides a practical introduction to data visualization with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualizations by avoiding common mistakes and how to use Tableau by creating visualizations...

Intro to Python for Data Analytics

Date
- , All day
Category

This course is now fully subscribed, but we intend to run the same course again in Autumn 2019. Please contact Kylie Norman if you would like to register your interest for this course. This two-day course, running in conjunction with Leeds Digital Festival 2019, provides an introduction to Python programming with a focus on data...

Introduction to R

Date
, 9:30am - 12:30pm
Category

Please be aware that this course is now fully subscribed and we expect to run it again in Autumn 2019. Please contact Kylie Norman if you would like to add your name to the waiting list. This half-day course, run in conjunction with Leeds Digital Festival 2019, aims to provide you with an introduction to...

Geocomputation and Data Analysis with R

Date
- , 9:30am - 4:30pm
Category

Please be aware that this course is now fully subscribed and we expect to run it again in Spring 2020. Please contact Kylie Norman if you would like to add your name to the waiting list. Run in conjunction with Leeds Digital Festival 2019, Geocomputation and Data Analysis with R aims to get you up-to-speed...

Transport Data Science with R

Date
, 9am - 4:30pm
Category

This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including: How to find, download and import a range of transport datasets How to develop automated and reproducible transport planning workflows? How can...

Introduction to QGIS

Date
, 9:30am - 4:30pm
Category

This 1 day interactive 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...

Introduction to ArcGIS

Date
, 9:30am - 4:30pm
Category

This 1 day course provides an introduction to Geographical Information Systems (GIS) using ESRI’s ArcGIS  software. It provides participants with the opportunity to familiarise themselves with using and navigating the software, as well as focusing on the skills of data entry, data manipulation, editing, analysis and mapping. The emphasis of this course is working with...

Spatial Modelling for Retail Analytics

Date
, 9:30am - 4:30pm
Category

This one-day course introduces participants to sophisticated spatial analysis and spatial modelling approaches that can be used to understand retail sector dynamics. We focus on the analysis of complex interactions between retail demand (consumers) and the retail supply side (retail stores). The tools that we introduce are applied widely by the commercial retail sector and...

Programming Short Course in R

Date
, 1:30pm - 4:30pm
Category

This 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 or R, how R handles different data types and how...

Introduction to Python for Data Analytics

Date
- , 9am - 4pm
Category

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. We will then focus on working with actual data, such as survey data, time-series...