Course: Data Carpentry for Digital Humanities

This three-day workshop aimed at researchers in the humanities and social science domains that want to improve their data management and analysis skills. No prior computational experience is required.

This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data, covering the following: data organization with spreadsheets, data cleaning with OpenRefine, introduction to Python, data analysis and visualization in Python, and SQL for data management.

For full details of this workshop, click here.

Due to high demand for our training events, our cancellation and no-show policy applies to bookings for this event. Click here for details of this policy.

You might be interested in

An Introduction to Machine Learning

An Introduction to Machine Learning

Introduction to Network Analysis with Gephi

Introduction to Network Analysis with Gephi

Processing Geographical Data in QGIS

Processing Geographical Data in QGIS

Analysing Polarisation in Political Texts

Analysing Polarisation in Political Texts

Advanced Uses of LLM

Advanced Uses of LLMs

Analysing Spatial Dynamics with GIS and R

Analysing Spatial Dynamics with GIS and R

Regression and Mixed Effect Modelling mashup

Regression and Mixed Effects Modelling

Introduction to Text Analysis with Python

Introduction to Text Analysis with Python

A Gentle Introduction to Causal Inference

A Gentle Introduction to Causal Inference