Data Wrangling Course

This web page contains the slides of the course as well as the subjects of lab assignments. I will put them in here prior to the lecture dates.

• General introduction: Data Quality and Data Wrangling 

• Introduction to Data Quality

• Dimensions of Data Quality

• A First hand-on Data Wrangling: Data Extraction

• A Second hand-on Data Wrangling: Data Cleaning

  • Cities.csv

• Data Cleaning Tools (Trifacta)

• Data cleaning using Constraints

  • Object identification (isn't included in the exam)

• Web Scrapping

• Mini-project subjects

  • Datasets that can be used for Functional Dependencies Discovery

    • IRIS (CSV): 5 columns, 150 rows, 4 fnctional dependencies

    • Adult Dataset (CSV): 14 columns, 48.842 rows, 78 functional dependencies

Resources:

- Voici un article sur la qualité de données. Vous y trouverez les termes (dimensions) de qualité de données en français.  

- Yannis Sismanis, Paul Brown, Peter J. Haas, Berthold Reinwald: GORDIAN: Efficient and Scalable Discovery of Composite Keys. 691-702

Internships:

- Research Internship: On Enhancing Knowledge Graphs with Provenance Support

- Internship in a company: Gestion, Analyse de Données et Recommandations - Application Au Psychométrie