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.
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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.

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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. 

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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.
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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.

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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. 
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