CDCS Training programme for the second semester
We are pleased to announce that our Training Programme for Winter-Spring 2022 is now live.
You can find a list of all upcoming events on our Training Homepage, where it is now also possible to filter our training based on the level of difficulty, the type of training, and the topics covered.
This semester we will have training ranging from introductory courses on coding to hands-on workshops on digital drawing and copyright.
If you are new to CDCS Training you may want to learn more about how our training is delivered. We offer a variety of options, from standard workshops and courses to asynchronous and ad hoc data surgery meetings.
This semester will also feature some new series of workshops, with a number of interconnected training events that focus on different aspects of the same topic. You can book all of the associated workshops or just specific workshops, depending on what you are interested in. The first four series will cover: copyright, recording 3D data, digitised documents, and statistics.
We normally open the sign up to our training events 3-4 weeks before they start. When they become bookable, you will see a 'Book Now' button at the bottom of each training event page.
If you want to discover more about CDCS training and the semester programme, join us at our next Training Information Session on Microsoft Teams on Tuesday the 11th of January at 14:00.
Training Events by Topics
Intro to Programming
Digital Document and text analysis
- Text Analysis with Python’s NLTK Library
- Silent Disco:Beautiful Soup (WebScraping)
- Can you just digitise? Introduction to digitised documents
- Working on digitised Manuscripts with Transkribus
- Digitised documents good practices: All things IIIF at the University of Edinburgh
- Visual AI and the Humanities
- Silent Disco: Understanding Regular Expression
- Further Text Analysis
- Corpus Analysis with Antconc
Structured Data Analysis
- Digital Method of the Month Statistics
- Digital Method of Month Machine Learning
- Analysing Structured Data with Python's Pandas and ElementTree Libraries
- Machine Learning with Python
- Cleaning Data with Openrefine
- Introduction to Statistic and Descriptive Statistics
- Null Hypothesis Testing and Montecarlo Simulations
- Regression Analysis with R
- Mixed Effects Modelling with R
