Dear Colleagues,
**With apologies for cross-posting**
The ESRC-funded
Consumer Data Research Centre
at the University of
Leeds is currently offering the following courses in 2019:
Introduction to ArcGIS
– still places left
15th Feb
2019 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Rachel Oldroyd
Due to licensing restrictions, we regret that this course is only available to people registered or employed at a UK Higher Education Institution
This 1 day course provides an introduction to Geographical Information Systems (GIS) using ESRI’s ArcGIS version 10.2 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 vector data in the context of a variety of socio-economic
applications. The course will mix teaching with demonstrations and hands-on exercises.
Objectives
·
To introduce new users of Geographical Information Systems to ESRI’s ArcGIS v10.2
·
To provide skills in data entry, data manipulation, spatial analysis and thematic mapping
·
To encourage participants to reflect on how the mapping and basic spatial analysis techniques might be used in their own research area.
Cost:
£70 (students)
£120 (academic, public and charitable sector employees)
Spatial Analytics for Public Health Researchers
6th March
2019 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Michelle Morris
This 1 day course offers an introduction to spatial analytics in a public health context. As spatial data sets get larger, more sophisticated software needs to be harnessed for
their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how
R can be used for spatial data. The course will begin with an overview of different spatial units and how they fit together. Public health examples will be used to illustrate the relevance of using each of these units. You will work through examples of how
spatial units can be added into existing data sets. In the afternoon you will generate your first map using public health data.
Who is this course suitable for? This course is for researchers who want
to start looking at spatial or social variations in their data and generating maps to present results. The course will assume that your knowledge of spatial scales and generation of maps is zero. Examples will all be from a public health context.
Cost:
£70 (students)
£120 (academic, public and charitable sector employees)
£300 (private sector)
15th March
2019 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Rachel Oldroyd
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 interspersed with hands-on practical
exercises with plenty of opportunity to work with your own data and seek advice regarding your own projects.
Who is this course suitable for?
No prior knowledge is assumed for this course other than having basic IT skills.
Cost:
£70 (students)
£120 (academic, public and charitable sector employees)
£300 (private sector)
5th April 2019 @ 9:00 am – 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutors: Robin Lovelace and James Tate
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 increasingly available datasets on air quality, traffic and active travel be used to inform policy?
·
How to visualise results in an attractive and potentially on-line and interactive manner?
This course will provide tools, code, data and, above all, face-to-face teaching to answer these questions and more, with the statistical programming language R. The data science
approach opens a world of possibilities for generating insight from your transport datasets. The course is suitable for researchers in the public sector, academia and industry.
Objectives:
By the end of the course you will be able to:
·
Find, download and import a variety of transport datasets, including from OpenStreetMap and government data portals
·
Work with, analyse and model transport data with spatial, temporal and demographic attributes
·
Work with air pollution data in R and compare with transport behaviours
·
Generate and analyse route networks for transport planning with reference to:
·
Origin-destination (OD) data
·
Geographic desire lines
·
Route allocation using different routing services
·
Route network generation and analysis
Who is this course suitable for?
Prior experience with transport datasets is a prerequisite for the course. Attendees are expected to:
·
Be comfortable with the use of R, using it for everyday data analysis tasks (you will find DataCamp’s free Introduction
to R easy)
·
Have experience with transport datasets and understand their structure (you will be familiar with the contents of the Transport
chapter in Geocomputation with R)
Cost:
Early bird prices (valid until 1st March)
Student: £200
Academic, public sector and charitable sector: £300
External: £400
Price (valid 1st March – 3rd April)
Student: £250
Academic, public sector and charitable sector: £350
External: £450
Geocomputation and Data Analysis with R
25th-26th April
2019 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Robin Lovelace
The aim of this 2 day course is to get you up-to-speed with high performance geographic processing, analysis, visualisation and modelling 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).
Objectives:
·
Be able to use R and RStudio as a powerful Geographic Information System (GIS)
·
Know how R’s spatial capabilities fit within the landscape of open source GIS software
·
Be confident with using R’s command-line interface (CLI) and scripting capabilities for geographic data processing
·
Understand how to import a range of data sources into R
·
Be able to perform a range of attribute operations such as subsetting and joining
·
Understand how to implement a range of spatial data operations including spatial subsetting and spatial aggregation
·
Have the confidence to output the results of geographic research in the form of static and interactive maps.
Who is this course suitable for?
Delegates must be an R user already, having at least completed a basic introductory course such as DataCamp’s free
introduction to R course
or equivalent.
Early Bird rates (valid until 18th March 2019)
£400 – Students
£600 – Academics, charitable and public sector
£800 – Other
29th April 2019 @ 9:30 am - 12:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutors: Richard Hodgett and Emmanouil Konstantinidis
This half-day course will 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 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 knowledge of R or statistics.
Objectives:
Who is this course suitable for?
No prior knowledge is assumed for this course other than having basic IT skills.
Cost:
£40 (students)
£60 (academic, public and charitable sector employees)
£150 (private sector)
Introduction to Python for Data Analytics
2nd-3rd May 2019 @ 9:00 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Viktoria Spaiser
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 data, JSON data (e.g. Twitter data), and geo-spatial data. This
will include visualization and statistical analysis of numerical data. The course will also give an introduction in spatial analyses and visualization of geo-spatial data and an introduction into natural language processing and text mining of large textual
data. Short lectures will be interspersed with hands-on practical exercises with plenty of opportunity to work with real data of various types.
Who is this course suitable for?
No prior knowledge is assumed for this course other than having basic IT skills and basic statistical understanding.
Fees
£100 – Students
£200 – Academic, public and charitable sector employees
£400 – Other
Please
click on the title for more information on content or to make a booking.
Please email
Kylie Norman for further information or if you are booking using
a Leeds internal
account.
Best Wishes,
Kylie Norman
Administrative Assistant
Consumer Data Research Centre (CDRC)
Leeds Institute for Data Analytics (LIDA)
Level 11, Worsley Building
University of Leeds
LS2 9JT
Tel: 0113 3430242
Please visit our website:
http://cdrc.ac.uk