Upcoming CDCS Training


Since the beginning of the semester, we have successfully run 17 remotely delivered training events, reaching more than 350 researchers across the College and beyond. 

Below you can find the details of the upcoming training events: 



  • 30th November-11th December (4 classes): Python Libraries Series - Course 3: Analysis and Visualisation with NetworkX and Altair. This is the third course of our “Intermediate Python” series. The series is for people who have some experience coding in Python and would like to expand their capabilities to include popular libraries: Pandas, ElementTree, NLTK, NetworkX, and Altair. This course will focus on network analysis and data visualisation 



  • 10th December: Visualisation with RThis practical workshop serves as an introduction to programmatic data visualization with R.



  • 11th JanuaryUsing Geospatial Data to Inform Historical Research in R. Silent Disco. Our 'Silent Discos' are based on tutorials from the Programming Historian website. One primary focus of historical scholarship is explaining the complex relationships that influence change in the past. This Silent Disco Tutorial will allow you to discover how to represent geographical historical data using R. 


  • 20th January: Workshop: Visual AI and The Humanities An Introduction This workshop will showcase the state of the art in Visual AI for cultural heritage and the digital humanities and provide a hands-on introduction to some simple techniques for searching and classifying imagery in books, paintings, photographs and film. 


  • 25th January: DisInformation - Mapping the Lifecycle of Media Manipulation. In this session, Dr. Joan Donovan demonstrates a case study approach to mapping the life cycle of media manipulation campaigns. This method seeks to analyse the order, scale and scope of manipulation campaigns by following media artefacts through space and time, drawing together multiple relationships to sort through the tangled mess.


  • 26th January: Intro to Databases with SQLite. In this workshop we will use SQLite, a flexible open-source database, to learn some of the basic concepts of database design and usage. In this workshop you will learn: Basic database design. SIGN UP WILL GO LIVE SOON 


  • 28th January: Digital Method of the Month: Text Analysis. Join our third Digital Method of the Month discussion on the practicalities of performing text analysis on your data. Text analysis allows for patterns in language to be studied at large scale, enabling “distant reading” of books, magazines, newspapers, and other digitized texts.  Join us to learn about the resources that the programming language Python offers for text analysis. SIGN UP WILL GO LIVE SOON 


  • 03rd February – 17th March (7 classes): Python for Beginners. This course is designed to introduce programming to people who have never programmed before. Join us on this seven sessions class that will help you pick up Python bases. SIGN UP WILL GO LIVE SOON 


  • 04th FebruaryIntro to managing digitalised documents. This workshop will present an introduction to working with digitised data and IIIF. The meeting will cover using image and presentation API while sharing good practices and providing examples. SIGN UP WILL GO LIVE SOON 


  • 05th February: Silent Disco: Building a website with Jekyll and GitHub Pages. Our 'Silent Discos' are based on tutorials from the Programming Historian website. This session will focus on how to build your own website using Jekyll and Github Pages. SIGN UP WILL GO LIVE SOON 


  • 08th – 15th February (2 classes): Working with Transkribus and OCR. This training will explain and demonstrate the Handwritten Text Recognition (HTR) platform Transkribus, a popular tool since its release for making historical documents more readable and accessible. SIGN UP WILL GO LIVE SOON 


  • 19th February: Data Visualisation TechniquesThis seminar will inform you about some of the basic techniques and give you some useful tips for when you are trying to present your data visually. It will cover topics such as use of colour, choice of visualisation technique, how to avoid some common pitfalls and making sure you are not misrepresenting your data.  SIGN UP WILL GO LIVE SOON 


  • 25th February: Effective Data Visualisation. In order to communicate this knowledge effectively, it is often essential to use visualizations to provide a clear picture of your key arguments. This workshop will cover the basics and principles of effective data visualisation. SIGN UP WILL GO LIVE SOON 


  • 26th February: Digital Method of the Month: Machine Learning. Join our fourth Digital Method of the Month discussion on the practicalities of using machine learning techniques in your research. SIGN UP WILL GO LIVE SOON