DU Data Science

Europe/Paris
202 (CC-IN2P3)

202

CC-IN2P3

Description

L'ensemble du matériel et les différents supports (cours et TPs) peuvent être trouvés dans le GitLab du CC-IN2P3 à l'adresse suivante :

All the course and training materials can be found in the CC-IN2P3's GitLab below:

https://gitlab.in2p3.fr/ccin2p3-support/formations/du-data-science/2026.03

    • 1:00 PM 2:00 PM
      Welcome coffee 1h
    • 2:00 PM 5:00 PM
      Tools for data scientists
      • 2:00 PM
        Introduction to GNU/Linux Operating System 1h 30m
        Speaker: Sybille Voisin
      • 3:30 PM
        Introduction to Git and GitLab 1h 30m
        Speaker: Gino Marchetti (CC-IN2P3 / CNRS)
    • 8:30 AM 12:15 PM
      Big Data & NoSQL
      • 8:30 AM
        Big Data & NoSQL 1h 45m
        Speaker: Mr Osman Aidel (CC-IN2P3)
      • 10:15 AM
        Coffee break 15m
      • 10:30 AM
        Big Data & NoSQL 1h 45m
        Speaker: Mr Osman Aidel (CC-IN2P3)
    • 12:15 PM 1:30 PM
      Lunch 1h 15m
    • 1:30 PM 5:15 PM
      Big Data & NoSQL
      • 1:30 PM
        Big Data & NoSQL 1h 45m
        Speaker: Mr Osman Aidel (CC-IN2P3)
      • 3:15 PM
        Coffee break 15m
      • 3:30 PM
        Big Data & NoSQL 1h 45m
        Speaker: Mr Osman Aidel (CC-IN2P3)
    • 8:30 AM 10:30 AM
      Big Data & NoSQL
      • 8:30 AM
        Big Data & NoSQL 2h
        Speaker: Mr Osman Aidel (CC-IN2P3)
    • 10:30 AM 10:45 AM
      Coffee break 15m
    • 10:45 AM 12:15 PM
      Data analysis with Python
      • 10:45 AM
        Python for data analysis and visualisation 1h 30m

        Introduction to NumPy, Pandas and Bokeh for data scientists

        Speaker: Sybille Voisin
    • 12:15 PM 1:30 PM
      Lunch 1h 15m
    • 1:30 PM 5:15 PM
      Data analysis with Python
      • 1:30 PM
        Python for data analysis and visualisation 1h 45m

        Introduction to NumPy, Pandas and Bokeh for data scientists

        Speaker: Sybille Voisin
      • 3:15 PM
        Coffee break 15m
      • 3:30 PM
        Python for data analysis and visualisation 1h 45m

        Introduction to NumPy, Pandas and Bokeh for data scientists

        Speaker: Sybille Voisin
    • 8:30 AM 9:00 AM
      Data analysis with Python
      Conveners: Sybille Voisin, Sébastien Gadrat (CC-IN2P3)
      • 8:30 AM
        Exam on Data Analysis with Python 30m
    • 9:00 AM 12:15 PM
      GPU programming
      • 9:00 AM
        CPU vs GPU 1h 30m
        Speaker: Mr Bertrand Rigaud (CC-IN2P3)
      • 10:30 AM
        Coffee break 15m
      • 10:45 AM
        Machine Learning on GPU 1h 30m
        Speaker: Mr Bertrand Rigaud (CC-IN2P3)
    • 12:15 PM 1:30 PM
      Lunch 1h 15m
    • 1:30 PM 2:00 PM
      Visit of the computing rooms (data center) 30m
    • 2:00 PM 5:15 PM
      GPU programming
      • 2:00 PM
        Machine Learning on GPU with PyTorch 1h 30m
        Speakers: Mr Bertrand Rigaud (CC-IN2P3), Sybille Voisin
      • 3:30 PM
        Coffee break 15m
      • 3:45 PM
        Machine Learning on GPU with PyTorch 1h 30m
        Speakers: Mr Bertrand Rigaud (CC-IN2P3), Sybille Voisin
    • 8:30 AM 9:30 AM
      Big Data & NoSQL
      Conveners: Mr Bertrand Rigaud (CC-IN2P3), Mr Osman Aidel (CC-IN2P3), Sybille Voisin
      • 8:30 AM
        Exam on Big Data & NoSQL 30m
      • 9:00 AM
        Exam on GPU 30m
        Speakers: Mr Bertrand Rigaud (CC-IN2P3), Sébastien Gadrat (CC-IN2P3)
    • 9:30 AM 12:15 PM
      GPU programming
      • 9:30 AM
        GPU computing with JAX 1h
        Speaker: Sybille Voisin
      • 10:30 AM
        Coffee break 15m
      • 10:45 AM
        GPU computing with JAX 1h 30m
        Speaker: Sybille Voisin
    • 12:15 PM 2:00 PM
      Lunch 1h 45m
    • 2:00 PM 3:00 PM
      GPU programming
      Conveners: Mr Bertrand Rigaud (CC-IN2P3), Sybille Voisin
      • 2:00 PM
        Présentation du projet JAX 1h
        Speaker: Sybille Voisin