Introduction to Data Science with Python is a comprehensive course that combines theory with practical skills. You’ll gain a foundation in data science methods, ethics and tools before moving on to learning how to code in Python.

Read full course information

Introduction to Data Science with R is your one-stop-shop for everything you need to know about computational social science methods and using the R programming language.

Read full course information

Instructor: Andy Kirk

Nothing communicates a complex story faster than the perfect visualisation. Learn from Andy Kirk, data visualisation guru, how to take ‘boring’ data, and transform it into powerful visualisations and infographics. 

Andy will show you how to harness colour, composition, interactivity, and annotation to tell your data story. By the end of the course you will be able to tailor your visualisations to your audience’s needs and integrate critical thinking into your design decisions. If you work with any form of data, big or small, and want to increase the impact of your research, this enlightening and exciting course is for you.
Read full course information

Instructors: Dr. Claudia von Vacano, D-Lab, University of California, Berkeley and Dr. 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.

Read full course information

Course Instructor: Dr. Andreea Moldovan

R is one of the most comprehensive tools for data management there is. This course will uncover R’s secrets - expanding your research toolkit and teaching you new ways to explore, analyze and visualize data.

Take this course if you want to improve your ability to work with day-to-day data, learn how to ask the right questions of your datasets and build up enough knowledge to collaborate effectively with data and computer scientists.

Read full course information

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. 

Read full course information

Instructors:  Martin John Hadley, University of Oxford and Professor Richard Traunmüller, Goethe University Frankfurt

If you’re a social scientist looking to communicate your research in a new and engaging way, Interactive Visualization with R could be the right choice for you. 

This course introduces you to techniques and tools for presenting data in visually attractive and interactive ways using the R programming language.
Read full course information

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.

Read full course information

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. 
Read full course information