Industry 4.0
15hPresents the industrial revolutions, the fundamentals of Industry 4.0, and digital production management, with emphasis on smart factories, data-driven business strategies, organizational knowledge, and competitive intelligence.
Module 1
Introduction to Data Science and Applications
Introductory module with conceptual and technical foundations for training in Data Science.
The first module establishes the conceptual and technical foundation of the specialization. It introduces the fundamentals of the field, connects students to the context of Industry 4.0, and builds the programming base required for the analytical, predictive, and prescriptive stages of the program.
Introduction to Data Science
15hDiscusses concepts, competencies, and practical applications in Data Science, along with program structure, market opportunities, key tools, and ethical aspects of professional practice.
Programming for Data Science
30hDevelops Python fundamentals and the programming environment for data analysis, covering control flow, functions, files, strings, lists, dictionaries, tuples, sets, lambda functions, iterators, generators, and libraries such as NumPy, SciPy, Pandas, DateTime, Matplotlib, and Seaborn.
Information Retrieval on the Web and Social Networks
15hExplores tools for analysis, monitoring, and data collection, as well as search algorithms, web information extraction, online social network analysis, website content analysis, and web crawling techniques.