The Python4NLP summer school targets both computer science and humanities (in particular linguistics) students and aims to give them the ability to collect, process and analyse textual data.

In this training school the main goal is to know the basic programming concepts while using Python NLTK, the leading Python library suite for human language data.

Una exploración de la relación entre ciencia, comunicación y lenguaje, una aproximación a la redacción de documentos científicos en inglés, que permita mejorar la competencia como escritores en lengua inglesa y las competencias transversales para las actividades de investigación.

This track covers the Python basics, such as how to clean real-world data ready for analysis, use data visualization libraries, how to write Python functions, how to store, manipulate, and explore data using NumPy, and how to visualize data using Matplotlib, manipulate DataFrames and dictionaries using pandas, and write functions and list comprehension.

Get a practical introduction to the methodology of corpus linguistics for researchers in the social sciences and humanities.

The summer school offers a practical introduction to the statistical procedures used for the analysis language corpora. The curriculum provides an overview of the main statistical procedures used in the field of corpus linguistics together with simple examples of application of these methods.

This Specialization covers research methods, design and statistical analysis for social science research questions.