Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.
Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Explores models for prediction, collaborative Sales and Operations Planning, supply chain management, and inventory optimization.
