Today, in an age of big data and new technologies, researchers within the social sciences have opportunities to analyze information in ways that were previously thought impossible. Yet this has also posed challenges as not everyone is equipped with the skills or knowledge to be able to use this data in the most effective way. This is where the SAGE Campus team comes in: earlier this year, we launched a series of online courses to teach data science skills to social sciences. My name is Katie Metzler, Head of Methods Innovation at SAGE, and I’m delighted to be able to introduce you to the team.
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.
Learner Story - Dr Jason Jackson, Introduction to Python
