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Discipline Module 1 · Introduction to Data Science and Applications

Introduction to Data Science

Workload
15h
Professor Prof. Dr. Matheus Haddad Assistant Professor with postdoctoral studies at Université Le Havre Normandie.
Syllabus

Concepts, competencies, and skills in Data Science. Practical applications of Data Science. Program structure and its disciplines. Labor market opportunities. Tools and technologies used in Data Science. Ethical considerations in Data Science practice.

Content
  • Concepts, competencies, and skills in Data Science
  • Practical applications of Data Science
  • Program structure and its disciplines
  • Labor market opportunities
  • Tools and technologies used in Data Science
  • Ethical considerations in Data Science practice
Core Bibliography
  • Cathy O'Neil, Rachel Schutt. (2014). Doing Data Science. Straight Talk from the Frontline. O'Reilly Media.
  • Coeckelbergh, M. AI Ethics. The MIT Press Essential Knowledge Series. Paperback, 7 abr. 2020.
  • Carvalho, André C. P. L. F. de; Menezes, Angelo G.; Bonidia, Robson P. Ciência de Dados - Fundamentos e Aplicações. ETC, 2024.
  • Lutz, C. et al. Ethics of Data and Analytics. 1. ed. 2019.
  • Provost, F.; Fawcett, T. Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking. O'Reilly Media.
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