Encounters with big data: An introduction to using big data in the social sciences
Date:
31/07/2017 - 04/08/2017
Organised by:
Essex Business School, University of Essex
Presenter:
Sarah King-Hele
Level:
Entry (no or almost no prior knowledge)
Contact:
For any enquiries contact Emma McClelland, Summer School administrator by email iadssum@essex.ac.uk or phone 01206 873496.
Map:
View in Google Maps (CO4 3SQ)
Venue:
Essex Business School
University of Essex
Wivenhoe Park
Colchester
Description:
This 5-day course run by the UK Data Service will introduce key concepts and discussions around using big data in the social sciences, and introduce attendees to Apache Hadoop, an open source framework for analysing big data. This course will focus on quantitative data and will not cover in any detail text, social media, audio or other forms of non-numeric data. This course is part of the IADS Big Data and Analytics Summer School.
Level: Introductory
Experience/knowledge required: Experience using quantitative research data in the social sciences. A good understanding of statistical methodology and concepts like standard error and standard deviation. Competence in writing commands in a statistical computing environment like Stata, R or SPSS.
Target audience: Aimed at experienced researchers, statisticians, or data managers
Cost:
Please see http://www.essex.ac.uk/iads/events/default.aspx for details
Website and registration:
http://www.essex.ac.uk/iads/events/default.aspx
Region:
East of England
Keywords:
Qualitative Data Handling and Data Analysis, ICT and Software, Apache hadoop , big data
Related publications and presentations:
Qualitative Data Handling and Data Analysis
ICT and Software