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.
In Bytesize: Network Analysis you will learn how to model explicit relationships, how to examine the statistical properties of relationships in co-mention networks, and how contextualize the statistical properties of a network.
By the end of this bytesize course, you will be able to:
Understand what constitutes a social network.
Identify and describe different levels of analysis.
Use the open source software tool GEPHI to do your own network analyses.
Correctly interpret network properties.
To successfully complete this course, you will need some knowledge of Python and/or R. We assume that participants can assign variables, direct the flow of control using conditionals, define their own functions and read files. These topics are all covered in SAGE Campus’ Introduction to Data Science with Python and Introduction to Data Science with R. If you have completed these courses, or a similar course, you are ready to take this bytesize course.
To successfully complete this course, you will need knowledge of Python and/or R.
No, not if you do not wish to. However there are parts of this course which use Gephi. Gephi is open-source and free, but it is not essential that you install it to complete the course. You will do all of your programming using JupyterHub, which means that you can code in your browser window.
A computer or laptop with the suggested software and a modern browser e.g. Internet Explorer 10+ or the latest versions of Chrome and Firefox.
You will have access to the course for 3 months.
All of our courses offer a certificate of completion signed by your instructor. You will be able to download this certificate, from the Learning Platform, when you complete the course.
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