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ETL_Practices

About the project

This repository will include the evaluable practices of the subject 'Extraction, Transformation and Loading' belonging to the Master in Data Science at CUNEF during the academic year 2022-2023.

Built with

  • Python 3.10
  • Jupyter Notebook
  • Rstudio
  • Sparklyr

Content of the repository

  • Regex_Practice: 10% of the subject. Regular expressions exercise in Python, you must build a function that checks if a password meets certain characteristics.

  • Airbnb_Practice: 40% of the subject. Using a series of datasets provided by Airbnb, create a script that executes extraction, transformation and loading tasks seen during the course. Carried out in R, with the aim of achieving the maximum score.

Contact

Víctor Viloria Vázquez - victor.viloria@cunef.edu

Project Link: https://github.com/ComputingVictor/ETL_Practices

LinkedIn - https://www.linkedin.com/in/vicviloria/

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