Join us in celebrating Love Data Week with Sage Campus! Explore the significance of data literacy and how our meticulously crafted courses cater to beginners and professionals alike. From interpreting data to mastering R programming, empower yourself or your institution with our engaging resources.
Conquer AI fears with our 'Introduction to Artificial Intelligence' course. Unravel myths, explore AI's role in research, confront ethical challenges, and master machine learning. Embrace the academic adventure this Halloween and triumph over fears with Sage Campus. Happy learning!
Three brand new online courses are launching on Sage Campus in 2023 to support the teaching and learning of key skills and research methods. Find out more about what the courses cover and register your interest for a free trial.
Three brand new online courses are launching on SAGE Campus in 2023 to support the teaching and learning of key skills and research methods. Find out more about what the courses cover and register your interest for a free trial.
Three brand new online courses launched on SAGE Campus this week to support the teaching and learning of key topics on research skills. Find out more about what the courses cover and sign up today via your institution or recommend it to your library.
Three brand new online courses are coming to SAGE Campus later this year on artificial intelligence, data management and statistics.
This post is a guest blog by Dr James Allen-Robertson, instructor on our Collecting Social Media Data online course. James talks about computational methods, programming experience and the benefits of online courses.
This post is a guest blog by Dr Phillip Brooker, on Programming-as-Social-Science (PaSS): A Matter of Form and Content. Phillip is an instructor on our ‘Introduction to Python’ and ‘Intermediate Python Skills’ online courses.
This post is a guest blog from Andy Kirk, author of our Introduction to Data Visualisation online course, on how you can use visuals in exploratory data analysis.
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.