Dear colleagues,
*with apologies for cross-posting*
The ESRC-funded
Consumer Data Research Centre
at the University of Leeds will be offering the following training short courses in 2018:
Building
Simple Smartphone Apps Without Coding – 19th April
Half day course on 19th April, repeated on 23rd April 2018 @ 9.00 am - 12.30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor:
Dr
Chris Birchall
There are a million and one ways to create mobile content – from computer programming for native iOS and Android apps to web based app building tools for code-free creation.
In this session we will have an introductory look at some of the alternative routes that exist to create mobile content without pre-existing coding skills. Software such as MIT AppInventor, amongst others, allow us to create apps with native functionality,
and tools such as PhoneGap allow us to repurpose web content as standalone apps. Participants will be able to experiment with ways to create the mobile functionality that they need, while reflecting on the pros and cons of the different approaches. No prior
experience in digital creation is necessary.
Training workshop run in partnership with Leeds Digital Festival.
Building
Simple Smartphone Apps Without Coding – 23rd April
Half day course on 23rd April, @ 9.00 am - 12.30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor:
Dr
Chris Birchall
There are a million and one ways to create mobile content – from computer programming for native iOS and Android apps to web based app building tools for code-free creation.
In this session we will have an introductory look at some of the alternative routes that exist to create mobile content without pre-existing coding skills. Software such as MIT AppInventor, amongst others, allow us to create apps with native functionality,
and tools such as PhoneGap allow us to repurpose web content as standalone apps. Participants will be able to experiment with ways to create the mobile functionality that they need, while reflecting on the pros and cons of the different approaches. No prior
experience in digital creation is necessary.
Training workshop run in partnership with Leeds Digital Festival.
R
for Transport Applications: Handling Big Data in a Spatial World
26th - 27th April 2018 @ 9:30 am -
4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor:
Dr
Robin Lovelace
This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics, with a focus on spatial data. Combining these enables powerful transport planning and
analysis workflows for tackling a wide range of problems, including: How to effectively handle large transport datasets. In terms of content, the first day will
focus on how the R language works, general concepts in efficient R programming, and spatial and non-spatial data classes in R. Building on this strong foundation the second
day will cover the application of the skills developed in Day 1 to transport datasets, with a focus on geographical transport data. Prior experience with transport datasets or common geographic data formats
is essential.
Explaining Brexit and Trump with Tidy Data Graphics
2nd May 2018 @ 9:30 am -
4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor:
Dr
Roger Beecham
2016 was an eventful year. The narrow votes in favour of Brexit in the UK and Trump in the US were a shock to many. You’ve probably heard commentators remark on the underlying causes for why people voted
as they did. A familiar caricature is of blue collar disaffection (Leave and Trump) versus liberal, metropolitan values and relative affluence (Remain and Clinton). But is this true of the entirety of the UK and US?
In this workshop you'll analyse datasets describing UK Local Authority and US county voting behaviour alongside key area-level socio-demographic variables. You'll compare and evaluate the extent
to which those demographics explain area-level variation in the vote. Importantly, you'll explore whether explanations vary for different parts of the UK and US. You'll do so by developing a family of data graphics (in R) that together reveal a data story
behind the vote.
10th May 2018 @ 9:30 am -
4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: Dr Daniel Arribas-Bel
This course will introduce the participants to the nascent field of Geographic Data Science using the industry standard, the Python programming language. We will cover the key steps involved in solving
practical problems with spatial data: design, manipulation, exploration, and modelling. These topics will be explored from a “hands-on” perspective using a modern Python stack (e.g. geopandas, seaborn, scikit-learn, PySAL), and examples from real-world spatial
and tabular data.
Introduction to GIS and
Spatial Analysis for Retail Applications
14th June 2018 @ 9:30 am -
4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutors: Drs Les Dolega, Nick Hood and Andy Newing
This one-day course provides an introduction to applications of Geographic Information Systems (GIS) and spatial analysis in understanding retail sector dynamics. We focus on the visualisation
and analysis of data related to retail supply (e.g. store catchments) and demand (including geodemographics) at national, regional and local scales. We consider commercial and public sector applications of retail analytics and introduce increasingly sophisticated
analysis tools with a series of fully supported hands-on practical sessions, interspersed with short lectures and group activities.
Spatial Modelling for Retail Analytics
15th October 2018 @ 9:30 am -
4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutors: Drs Andy Newing and Nick Hood
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 we reflect on the important link between academia and industry in the continual
development of these modelling approaches. We introduce participants to statistical and spatial modelling using simulated data related to UK consumers. These include regression and powerful industry-standard spatial interaction (or gravity) modelling. The
course is taught via a series of fully supported hands-on practical sessions, interspersed with short lectures and group activities. This provides an applied and theoretical perspective, with examples drawn from the UK but relevant in a number of international
contexts.
Please click on the titles for full information on content and how to book.
Please email
Kylie Norman for further information
or if you are booking using an internal account.
Best wishes,
Kylie
Kylie Norman
Administrative Assistant
Consumer Data Research Centre (CDRC)
Leeds Institute for Data Analytics (LIDA)
Level 11, Worsley Building
University of Leeds
LS2 9NL
Tel:
0113 3430242
Please visit our website:
http://cdrc.ac.uk