Name: Data Visualisation
Start: 2019-03-26T10:00:00Z
End: 2019-03-28T16:30:00Z
Location: InTuition House

Data Visualisation

An established provider of training, capacity building and knowledge exchange activities in the area of statistical methods and data analysis.

AQMEN

Data Science: Training and Capacity Building
Data Visualisation
The Industrial Strategy recognises that a major challenge facing UK businesses and industry is how best to utilise big data to improve economic performance and increase productivity. A substantial barrier to exploiting the potential offered by emerging forms of big data is the lack of a suitably trained workforce with appropriate analytical skills. Many statistical techniques used in the social sciences are also suitable for the analysis of big data in non-academic settings, however social science graduates often lack experience in applying their skills and knowledge in non-academic research domains.
Visualising data is emerging as a key component in effectively communicating research results and evidence. This three-day workshop will provide a comprehensive introduction for individuals wishing to learn how to design, produce and interpret data visualisations. 
The workshop will provide participants with a practical introduction to the fundamental concepts that characterise data visualisation and which are critical for successfully communicating research results.
The workshop will comprise both lectures and practical hands-on exercises in the programming language R. The final day of the workshop will be a group exercise in the form of a ‘hackathon’, where participants will be tasked with addressing an industry challenge using the techniques learned during the first two days. 
As a result of attending this workshop, participants will be equipped with a range of skills that are highly desirable in industry, including the use of the R programming language, working with real-world (i.e. messy) data, and effectively communicating research results and evidence.
Topics covered during the course include:
<UL>
<LI>Guiding principles for constructing effective data visualisations</LI>
<LI>Getting data in shape for visualising</LI>
<LI>How to graph quantitative data using the ggplot2 package in R</LI>
<LI>Graphing a range of variables and data types (e.g. numeric and categorical values, associations)</LI>
<LI>Graphing the results of statistical models</LI>
<LI>Refining graphical presentations</LI>
<LI>Practical hands-on sessions introducing the methods and techniques outlined above.</LI>
</UL>
Prerequisite knowledge
The workshop is suitable for postgraduate social science students and early-career researchers with a good general knowledge of statistical methods and data analysis. Some experience of analysing large-scale and complex social surveys (e.g. the birth cohort studies or household panel surveys) or administrative datasets would be an advantage. 
The workshop is also suitable for academic staff engaged in teaching data analysis and statistical methods in social science settings who are seeking to incorporate data science and big data analysis skills into their programmes.  
Travel and accommodation bursaries
Attendees may be eligible to claim travel and/or accommodation costs to attend. In order to be eligible for a bursary you must reside outside London. Reimbursement can only take place if you follow the reimbursement process detailed below and bursaries will be capped at the following rates:
<IMG ALT="expenses" SRC="https://cdn.evbuc.com/eventlogos/139489311/1-5.png">
Reimbursement process
Attendees are responsible for arranging travel and/or accommodation (if applicable) themselves and will only be reimbursed upon presentation of original receipts (no photocopies or credit card receipts will be accepted) and completion of the relevant expense claim form which will be provided post-event.
 AQMEN will not reimburse the following costs (unless agreed prior to the event):
<UL>
<LI> Mileage</LI>
<LI>First class travel</LI>
<LI>Meals or room service</LI>
<LI>Inter-city travel (e.g. buses to and from event venue)</LI>
<LI>Taxi fares</LI>
<LI>Credit card fees</LI>
<LI>Sundries (e.g.wireless internet access or newspapers at accommodation)</LI>
</UL>
All expense claims and receipts must be received by the AQMEN office no later than 2 weeks following the last day of the event in order to be eligible for reimbursement.
The workshop is free to attend. Training will run from 10am - 4.30pm each day with refreshments and lunch provided.
Registration closes at 1pm on 20th March 2019.

InTuition House

This course is now full. Please contact info@aqmen.ac.uk to be added to the waiting list.

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