This workshop will focus on developing practical skills for summarising and exploring data using R or Python. The session will introduce key concepts in descriptive statistics, including measures of central tendency, measures of variability and data distributions.
This workshop will focus on developing practical skills for summarising and exploring data using R or Python. The session will introduce key concepts in descriptive statistics, including measures of central tendency, measures of variability and data distributions.
This workshop introduces the fundamentals of scraping user-generated content from the web using R or Python. The session will be hands-on, working through the process of scraping a selected static website step by step, before concluding with a discussion of the limitations of scraping and the challenges posed by more complex dynamic sites.
This workshop will introduce you to the framework of null hypothesis testing, a simple test of mean differences (t-test), p-values, what they really mean and how to adopt them in your research.
The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research. A big part of conveying research results hinges on how these results are presented. Join us to discuss the main principles of effective and reproducible data visualisation.
Sentiment analysis is the process of determining whether a piece of writing is positive, negative or neutral. Its use has become relatively widespread, including being used to analyse customer feedback, social media, user surveys, and more. This workshop will cover how it works; pros and cons; using it on text, user feedback and online sources.
This course is an introduction to extracting text from images and scanned PDFs using Optical Character Recognition (OCR) techniques. In the course, we will give you an overview of text extraction, demonstrate how OCR works in practice, using free, ready-to-use tools that are widely available.
This beginner-friendly course will focus on developing skills and a fundamental understanding of R and RStudio. Participants will develop a familiarity with the principles and functionalities of R and RStudio, allowing them to confidently apply these, or indeed seek out new concepts, for their current and future research.
Edinburgh Futures Institute (EFI) building, The University of Edinburgh, 1 Lauriston Place, Edinburgh, EH3 9EF
*Deliveries via West Entrance on Nightingale Way.
Email: efi@ed.ac.uk
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