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/2025.03

    • 1:00 PM 2:00 PM
      Welcome coffee 1h
    • 2:00 PM 5:00 PM
      Tools for data scientists
    • 8:00 AM 12:15 PM
      Big Data & NoSQL
      • 9:00 AM
        Big Data & NoSQL 1h 30m
        Speaker: Mr Osman Aidel (CC-IN2P3)
      • 10:30 AM
        Coffee break 20m
      • 10:50 AM
        Big Data & NoSQL 1h 25m
        Speaker: Mr Osman Aidel (CC-IN2P3)
    • 12:15 PM 2:00 PM
      Lunch 1h 45m
    • 2:00 PM 5:15 PM
      Big Data & NoSQL
      • 2:00 PM
        Big Data & NoSQL 1h 30m
        Speaker: Mr Osman Aidel (CC-IN2P3)
      • 3:30 PM
        Coffee break 15m
      • 3:45 PM
        Big Data & NoSQL 1h 30m
        Speaker: Mr Osman Aidel (CC-IN2P3)
    • 9:00 AM 12:15 PM
      Big Data & NoSQL
      • 9:00 AM
        HADOOP ecosystem and Spark 1h 30m
        Speaker: Mr Osman Aidel (CC-IN2P3)
      • 10:30 AM
        Coffee break 15m
      • 10:45 AM
        HADOOP ecosystem and Spark 1h 30m
        Speaker: Mr Osman Aidel (CC-IN2P3)
    • 12:15 PM 2:00 PM
      Lunch 1h 45m
    • 2:00 PM 5:15 PM
      Data analysis with Python
      • 2:00 PM
        Python for data analysis and visualisation 1h 30m

        Introduction to NumPy, Pandas and Bokeh for data scientists

        Speaker: Fabio Hernandez (CC-IN2P3)
      • 3:30 PM
        Coffee break 15m
      • 3:45 PM
        Python for data analysis and visualisation 1h 30m

        Introduction to NumPy, Pandas and Bokeh for data scientists

        Speaker: Fabio Hernandez (CC-IN2P3)
    • 9:00 AM 12:15 PM
      Data analysis with Python
      • 9:00 AM
        Python for data analysis and visualisation 1h 30m
        Speaker: Fabio Hernandez (CC-IN2P3)
      • 10:30 AM
        Coffee break 20m
      • 10:50 AM
        Python for data analysis and visualisation 1h 25m
        Speaker: Fabio Hernandez (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 5:20 PM
      GPU programming
      • 2:00 PM
        CPU vs GPU 1h 30m
        Speaker: Mr Bertrand Rigaud (CC-IN2P3)
      • 3:30 PM
        Coffee break 15m
      • 3:45 PM
        Machine Learning on GPU 1h 30m
        Speaker: Mr Bertrand Rigaud (CC-IN2P3)
    • 9:00 AM 12:15 PM
      GPU programming
      • 9:00 AM
        Machine Learning on GPU with TensorFlow 1h 30m
        Speakers: Mr Bertrand Rigaud (CC-IN2P3), Sybille Voisin
      • 10:30 AM
        Coffee break 15m
      • 10:45 AM
        Machine Learning on GPU with PyTorch 45m
        Speakers: Mr Bertrand Rigaud (CC-IN2P3), Sybille Voisin
      • 11:30 AM
        Exam on GPU Course 40m
    • 12:15 PM 2:00 PM
      Lunch 1h 45m
    • 2:00 PM 5:15 PM
      GPU programming
      • 2:00 PM
        GPU computing with JAX 1h 30m
        Speaker: Sybille Voisin
      • 3:30 PM
        Coffee break 15m
      • 3:45 PM
        GPU computing with JAX 1h 30m
        Speaker: Sybille Voisin