Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Covers relational query optimization, including logical and physical query plans, cost estimation, equivalences, and the System R strategy.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
