Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Explores water consumption data in Geneva, including charts on consumption and losses, available datasets, and data processing phases.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Explores systemic environmental assessment, national material flow analysis, and urban metabolism dashboard development for Zurich using open data.
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.
