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.
This post concerns approaches to annotating charts and includes observations on visualisations on gun crime, the NFL and dialogue analysis of ‘The Office’. They have been created by Andy Kirk, a UK-based data visualisation specialist and course instructor on Introduction to Data Visualisation.
Find out how to make clever choices about label placement, and how labels that appear to be simple, can actually make visualisations confusing.
This blog post is the first in a series of pieces by Andy Kirk, on the 'little’ of visualisation design: the small decisions that make a big difference towards the good and bad of visualisation. This week’s post discusses use of colour.
Python is one of the most popular programming languages in the data science world, but it is also proving integral to the burgeoning field of computational social science. Find out what attracts social scientists to Python.
In this blog post Dr Chris Hench, course instructor on Introduction to Data Science for Social Scientists, discusses how to clean your data and why it’s important that you do so.
Find out how you can use the R programming language to create visualizations and engaging stories with your data!