Instructors: Dr Rob Mastrodomenico and Dr Phillip Brooker, University of Bath
Python is perfect for social scientists learning computer programming for the first time due to its straightforward, easy-to-use syntax. You’ll learn how to perform key tasks using Python such as writing scripts, creating and manipulating lists and pulling data from the web.
Interactive Visualization with R for Social Scientists
Instructors: Dr. Claudia von Vacano, D-Lab, University of California, Berkeley and Christopher Hench, D-Lab, University of California, Berkeley
This course will introduce you to the fundamentals of popular computational methods such as text analysis, machine learning, and network analysis, and their application to the study of social events in today's big data environment.
Fundamentals of Quantitative Text Analysis for Social Scientists
Instructor: Professor Jonathan Slapin, University of Essex
Do you want to analyze the political implications of thousands of social media comments? Or perhaps determine newspaper coverage of pollution in our cities? Fundamentals of Quantitative Text Analysis for Social Scientists will teach you how to use quantitative methods to process large amounts of textual data using the programming lanaguage R.
Practical Data Management with R for Social Scientists
Instructor: Matthew Denny, Pennsylvania State University
If you’re a social scientist who wants to learn how to use the programming language R to manage data, then this is the course for you.
By the end of this course, you will possess the programming skills and experience to tackle a wide range of practical data management tasks using R and manage data in a wide variety of formats, in a reproducible manner, at scale.