Software for Data Science
Business & Industrial Section/Statistical Computing Section with University of Hertfordshire
Tuesday 14th June 2016, 4:00pm - 6:00pm
University of Hertfordshire, de Havilland campus, Hatfield, Hertfordshire, AL10 9EU
Effective applications of Data Science rely heavily on software for rapid aggregation, powerful data analysis and flexible presentation. The right choice of software is critical. This meeting uses three very different case studies to show how the right software can deliver convincing insights on data sets of all types and sizes. The case studies include applications of fast distributed computing in Hadoop clusters, text mining, rapid exploratory data analysis and graphical software.
This meeting will be valuable to both practitioners already implementing Data Science solutions and those considering this move, along with students and academics interested in Data Science.
The meeting is free but please register your attendance so we have an idea of numbers for catering and arrange parking. Please contact the Royal Statistical Society’s events team ([log in to unmask]).
3:30pm: Welcome and refreshments
4:00pm: Roozbeh Pazuki (L&A Consultants):
A case study showing how Hadoop/Spark have been used to deliver Data Science solutions in collaboration with the Centre for Complexity Science at Warwick University
4:40pm: Ken Benoit (LSE):
Ken will talk about how he has used the statistical software R along with his quanteda package for the management and quantitative analysis of textual data
5:20pm: Adam Nagus (Accenture):
This talk will focus upon the use of the Tableau software to produce data visualisations that help discover patterns in data and lead to greater understanding of business data.
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