Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.
Covers the fundamentals of data science, the scientific method evolution, the role of a data scientist, and the significance of data as the new oil.
Explores parallel computation in CFD, emphasizing its implementation in Fluent and visualization techniques for scientific data interpretation.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
