Schedule


20/6 to 23/6	Morning	Interpretable Machine Learning: Interpretabilidad en modelos de aprendizaje automático	X-Heuristics: Concepts and applications in logistics, transportation, production and finance
20/6 to 23/6	Afternoon	Statistical Methods for Microbiome Analysis	Applied Machine learning to solve real life problems
27/6 to 1/7	Morning	Técnicas Estadísticas para Meta-análisis con R	Data Visualization
27/6 to 1/7	Afternoon	Introducción a los modelos dinámicos lineales	Python, more python, more interactive python, Pandas and sklearn
4/7 to 8/7	Morning	Introduction to clustering analysis with R	Creación de aplicaciones web con Shiny
4/7 to 8/7	Afternoon	Generalized Additive Models and beyond with P-splines	Introducción al Data Storytelling

Important: The courses defined as “face-to-face or streaming” will be face-to.face only if the Covid19 sanitary conditions allow it. Otherwise, they will be taught on-line. In the face-to-face situation, the courses are also going to be relayed by streaming.

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Afternoon

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