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Lecture
Collaborative Data Science
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.
Official source
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