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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 Spring 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: 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.
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: 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.
R
for Transport Applications: Handling Big Data in a Spatial World
– early bird discount extended until 30th March
26th - 27th April 2018 @ 9:30 am -
4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor: 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: 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.
16th April 2018 @ 1:00 pm - 4:00 pm
Leeds Institute for Data Analytics, University of Leeds
Course Tutor:
Richard Hodgett
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 of 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.
The course assumes no knowledge of R or statistics.
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