Workshop: Data Mining & Visualising Big Social Data
Date:
15/09/2015
Organised by:
Sam Martin
Presenter:
Sam Martin
Level:
Intermediate (some prior knowledge)
Contact:
Sam Martin, DigitalCoeliac@gmail.com
Map:
View in Google Maps (NW1 1RD)
Venue:
Camden City Learning Centre
Charrington Street
London, NW1 1RD
Description:
In a world where data is becoming increasingly vast and digital, the demand to make sense of and visualise this information becomes increasingly necessary.
Whether you need to mine and visualise data for research into social habits, health, politics, crime or more - this workshop aims to give you the skills to source pubically available data, map and visualise it too.
This half-day workshop will provide you with an introduction into how mine Twitter, Instagram and Youtube for social data, as well as give you the tools and skills to analyse and visualise your data sets.
Course participants will:
- Learn to use simple techniques to mine the public Twitter, Instagram and Youtube APIs
- Learn how to clean your data using Google Spreadsheets and Google Add-ons
- Learn how to use Qualitative software to analyse tweets for co-occurring patterns, topics and trends
- Learn how to use data visualisation software like Gephi and coding languags like D3.js to create interactive networks
- Learn how to map and visualise text and image data collected from Twitter and Instagram onto dynamic and interactive maps that you can embed into your projects
The course will be taught using the latest iMacs in a training suite at the Camden Learning Centre, London. Please click on the link below to register.
Cost:
Standard: £120. Academic Staff: £100. Student: £75
Website and registration:
https://datavis-training.eventbrite.com
Region:
Greater London
Keywords:
Digital Social Research, Analysis of social media, Big data analytics, Data Collection, Online Data Collection , Big data, Online communities, Social media data, Research Skills, Communication and Dissemination, Data Visualisation, Interactive data visualisation, big social data , gephi , Twitter , Instagram , Youtube , APIs , Social Sciences
Related publications and presentations:
Digital Social Research
Analysis of social media
Big data analytics
Data Collection
Online Data Collection
Big data
Online communities
Social media data
Research Skills, Communication and Dissemination
Data Visualisation
Interactive data visualisation