Data Science Visualization with Pandas

In course

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Description

This lecture covers data manipulation and exploration using Python with a focus on visualization techniques. Topics include reshaping dataframes, handling missing values, and combining sensor measurements. Practical exercises involve resampling, interpolating, and visualizing data to identify correlations and trends.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_7erhqb8k

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems

Computer networks: Search engines

Computer architecture: Topics in computer architecture

Mathematics

Analysis: Numerical analysis

Statistics

Statistical inference: Mathematical statistics

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