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Data Capture, Analysis and Presentation to Turn Data into Evidence
Tue 25 October 2016, 13:00 – 16:00 BST
What is it?
Data Capture, Analysis and Presentation to Turn Data into Evidence is a Workshop with Prof. Bill Buchanan, Director of The Cyber Academy, Napier University.
What does it involve?
This workshop aims to show how Big Data methods can be applied to open source data sources, in order to understand correlations, anomalies and outliers. It will use publicly available data sources for health, social care and crime in Scotland, and show how these can be converted into a form which allow for the application of data parsing and analysis, and how this data can then be presented as evidence using mathematical analysis and/or charting. The workshop will showcase the differing methods to chart data, and how it can best be presented in order to deliver significant findings. It will include full hands-on analysis, with tutorials, using Python, Pandas, and Plotly.
Who will benefit?
Anyone involved in health, social care, crime and related sectors in Scotland who wishes to get into Big Data Analysis methods. Other professionals may also find it useful as a general introduction for the analysis, processing and present data.
Is it hands-on?
The workshop involves small presentations on the key topic areas, and will mainly involve hands-on work. You will thus work within teams on data sources, and analyse data in tutorial, in order to find significant factors. At the end of the workshop, the teams will be presented with data, and have one hour to analysis the data presented and then to present their findings to the other groups.
Do I need programming knowledge?
Not really, as the code will be provided, and the workshop will teach the key programming functions involved. As much as possible all of the methods involved will be scaleable into real-life work environments.
There are 20 places, with groups of two working together on tutorials and on the final data analysis and presentation. There will also be an award for the best analysis and group presentation.
13:30 - Workshop
15:30 - Q & A Session
16:00 - Finish