We’re offering an early bird discount on five upcoming courses! Save 25% on Introduction to Text Mining for Social Scientists, Intermediate Python Skills for Social Scientists, Introduction to Data Visualisation, Practical Data Management with R for Social Scientists, and Introduction to R for Social Scientists.
To accompany the launch of our new course on November 26, Introduction to Text Mining for Social Scientists we’ve put together this handy video collection with SAGE Campus course instructor Gabe Ignatow. We’ve broken them down into useful sections to help give you a quick overview of Text Mining; we hope you find them useful. Sign up now for Introduction to Text Mining for Social Scientists.
All of the information you're going to find here has been extracted from the online course Introduction to Text Mining for Social Scientists. The chosen topics will provide you with a taster of what text mining is and we hope this guide is your first step to learning more about this exciting field.
We’re offering an early bird discount on four upcoming courses! Save 25% on Introduction to Python for Social Scientists, Intermediate Python Skills for Social Scientists, Interactive Visualization with R for Social Scientists and Quantitative Text Analysis with R for Social Scientists.
We’re offering an early bird discount on three upcoming courses! Save 25% on Text Mining for Social Scientists, Intermediate Python Skills for Social Scientists and Practical Data Management for Social Scientists.
What is text mining and how is it used in social research?
This guide includes carefully chosen topics that are perfect for people who have no experience of R. Each topic is intended as a taster to introduce you to R, the terminology, and to share useful resources to aid your further adventures with R. We hope this guide is a great starting point for you to learn about R!
SAGE Campus Bytesize courses are a series of short courses that teach core data science skills to people who are eager to learn, but short on time.
This webinar discusses why data science is important to the social sciences, and how to gain computational skills with the Introduction to Data Science course.
Whether your looking to improve the visualisation of your data or master your next programming language we've got you covered. Explore all our free webinars in one place
A fantastic benefit of the course Introduction to Data Science for Social Scientists is that it introduces you to using Jupyter Notebooks, part of the Jupyter Project. But what is Jupyter? And why is it such a useful tool? We asked course instructor Geoff Bacon to share his thoughts.
Our latest data science courses are a one-stop-shop for everything you need to know about computational social science methods and working with big data. You will learn about data science methods, ethics and tools and learn how to code. Save 50% on our new courses!
Watch this webinar and learn how good decision-making leads to effective data visualisation.
At SAGE Campus we’re passionate about providing a learning journey that is successful from start to finish. To ensure that our courses are pedagogically effective and provide an engaging learning experience, we work with an eLearning Advisory Board. Read about how the expert feedback we receive is woven throughout the creation of our courses.
Learn how to perform simple tasks using R with our free training video.
Watch our free webinar and learn more about the role that quantitative text analysis plays for social scientists when working with large amounts of data.
See the value of photo-imagery within a chart display, and how using consistent composition and style enhances visualisations.
Do you want to learn more about how Python can be used for working with social data? Watch our webinar with SAGE Campus course instructor, Rob Mastrodomenico and find out all you need to know.
The projects that are the focus of this post demonstrate clever approaches to axis, and come from the Washington Post, the New York Times and Sports TV coverage
This guest post, written by Professor Ryan Watkins, shares a conceptual framework for preparing PhD students for study, research, and working in data intensive environments powered by intelligent technologies.