Data Science Essentials: Pandas, Numpy, Matplotlib

In course

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Description

This lecture covers essential tools for data analysis in Python, including Pandas for data manipulation, Numpy for numerical computing, and Matplotlib for scientific visualization. Topics include data series, data frames, array manipulation, and advanced visualization techniques.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_dpc6sp33

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

Statistical inference: Mathematical statistics

Descriptive statistics: Statistical graphics

Mathematics

Analysis: Numerical analysis

Information engineering

Data science: Topics in data science

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