Lecture

Collaborative Data Science

In course

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Description

This lecture covers the elements of collaborative data science, including Python tools, Jupyter notebooks, Docker, Git, and interactive visualization. It also introduces big data concepts, data formats, Hadoop, Spark runtime, Spark data frames, and data stream processing. The instructor provides tips for the final project.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_32lsgcz4

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems

Theoretical computer science

Programming language theory: High-level programming languages

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