Con­cepts in So­cial Data Ana­lyt­ics

Course content

This course is designed to provide knowledge of key concepts and methods of big social data analytics from a business perspective. 

The course will provide students with conceptual understandings as well a practical skills to handle big social data analytics. Building on set-theory and analytics, the course equips the student with the ability to generate valuable business insights for companies and organizations. Blending theoretical foundations with tool tutorials, exercises and demonstrations, the sessions on the course address the technical foundations for meaning making of social data. The course equips students with knowledge of end-to-end analysis processes enablins the students to run big data analytics processes in their own companies, in entrepreneurial contexts as well as for larger organizations.

Course contents will cover issues in and aspects of manipulating, storing, and analysing big social data in order to create organizational value. Topics will include:

Big Data & Big Social Data
Data Science and Computational Social Science

Set Theoretical Approach to Computational Social Science: Social Set Analysis

Data Mining & Machine Learning

Visual Analytics

Text Analytics
Predictive Analytics

Business Intelligence & Business Analytic
Applications to Private & Public Sectors

Datafication: Security, Governance, Regulation, Privacy & Ethics