Analysing Social Networks with Statistics
University of Edinburgh · Scotland · SSPS10029
Analysing Social Networks with Statistics is a subject at University of Edinburgh, Scotland. It covers topics like applied-statistics, data-analysis, statistical-computing, statistical-learning. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
University of Edinburgh
SSPS10029
3.00
Topics covered
Degrees that include Analysing Social Networks with Statistics
- Government, Policy and Society with Quantitative Methods MA (Hons)
- International Relations with Quantitative Methods (MA Hons) (Full-time)
- Politics with Quantitative Methods (MA Hons) (Full-time)
- Social Policy with Quantitative Methods (MA Hons) (Full-time)
- Sociology with Quantitative Methods (MA Hons) (Full-time)
Frequently asked questions
What is Analysing Social Networks with Statistics about?
Analysing Social Networks with Statistics covers topics like applied-statistics, data-analysis, statistical-computing, statistical-learning.
Which degrees include Analysing Social Networks with Statistics?
Analysing Social Networks with Statistics is part of 5 degrees, including Government, Policy and Society with Quantitative Methods MA (Hons), International Relations with Quantitative Methods (MA Hons) (Full-time), Politics with Quantitative Methods (MA Hons) (Full-time), Social Policy with Quantitative Methods (MA Hons) (Full-time), Sociology with Quantitative Methods (MA Hons) (Full-time).
How many credit points is Analysing Social Networks with Statistics?
Analysing Social Networks with Statistics at University of Edinburgh is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Analysing Social Networks with Statistics taught?
Analysing Social Networks with Statistics is taught at University of Edinburgh, Scotland.
Studying Analysing Social Networks with Statistics?
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Sources: University of Edinburgh public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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