Explore the curriculum of the specialization. The modules were organized to guide students from Data Science foundations to the development of applied projects grounded in strong methodology.
Data Science fundamentals, Industry 4.0, Python programming, and information retrieval from the web and social networks.
Descriptive statistics, visualization, dimensionality reduction, and unsupervised learning.
Supervised learning, neural networks, ensemble methods, and natural language processing.
Decision theory, combinatorial optimization, and reinforcement learning.
View module →Scientific methodology, technical standards, and development of the applied Data Science project.
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