We asked Phillip Brooker, an interdisciplinary researcher in the field of social media analytics, and social science expert on Introduction to Python for Social Scientists, for his advice on using data science methods in social science research.
Phillip has background in sociology and sociological research methods, and co-convenes the Programming-as-Social-Science (PaSS) network which explores computer programming as a subject and methodological tool for social research and teaching. So if you’re looking into computational social science, listen up, you’re in good hands!
This blog post talks about how online learning can benefit learners and in particular how it allows learners to fail.
The digital age has made huge amounts of data available for analysis in the form of newspapers, blogs, social media feeds, government documents, the list goes on!
In this post we consider some of the challenges of working with such vast amounts of data and the role that QTA plays.
The big data revolution offers huge potential for social scientists. However, the successful collection and rigorous analysis of this data require new skills, new collaborations, new research methods, and new computational tools. Learning data science skills may seem daunting, but there are many reasons why learning to program will benefit both you and your field of study. Find out why here.
