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The whole is greater than the sum of its parts (Aristotle).
 
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Applied Statistics / Data Analysis

Statistics for Environmental Sciences with R

This course offers a practical introduction to statistical methods used in environmental sciences, using the R language. It is aimed at students and professionals who wish to master environmental data analysis.

Statistics for Environmental Sciences with Python

This course teaches the basics of statistics applied to environmental sciences, using modern data processing tools in Python. Emphasis is placed on reproducibility and data visualisation.

Applied Machine Learning with Python

This course introduces fundamental machine learning techniques through practical case studies in Python. It targets researchers, engineers, and students looking to harness the power of predictive algorithms.

Applied Deep Learning with Python

This course explores deep neural networks and their applications in Python. It covers classical architectures (CNNs, RNNs) and widely-used tools such as TensorFlow and PyTorch.

Innovate, Perform, and Build with Generative AI

This course offers a strategic and creative approach to generative AI, aiming to foster innovation, boost productivity, and support entrepreneurial initiatives.