Master TAL - MSc. NLP

Course Unit

Data Science






Course Description

This course unit introduces fundamental techniques for the extraction, storage, cleaning, visualisation and analysis of data. We give a practical introduction to the tools and software libraries which allows the processing of data. We combine theoretical sessions with programming exercises which allows students to put into practice the software and concepts taught during the course.

EC1 Storage and data extraction
This course aims to familiarize students with the techniques used to retrieve and analyse data from various sources (excel files, databases, web, tweets, etc.) and available in different formats (XML, HTML, OWL, CSV, Json, etc.). The course will present the most common data formats and explain how to retrieve data from the web, via APIs, from databases, and from knowledge bases.

EC2 Data analysis
This course presents different ways in which data can be treated, analysed, and visualized. We describe how to pre-process and summarize the content of data (distribution, variance, etc.), how to use this in order to make predictions (classification, regression, clustering) and how to visualize data (histogrammes, heat map, etc.).


Learning Outcome

  • Identification of tools and libraries necessary for the collection of data
  • Practical real-life application of tools and these libraries
  • Construction of normalised data banks
  • Analysis of data
  • Pre-processing and summarisation of data
  • Visualisation of properties of a collection of data, visualisation and analysis of selected data


  • UE 701 and UE 703

Targeted Skills

  • Know how to retrieve, structure, and represent data (sound, text, images,… )
  • Exercise autonomy and initiative

More Informations


  • To be completed

Course URL – Arche

  • To be completed

Link with other courses

  • to be completed

Evaluation procedures

Number of Tests

  • to be completed

Nature of the tests

  • to be completed

Group work

  • to be completed

Combine with other specialization

  • No

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