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Detalhe da Disciplina
Curso: Pós-Graduação em Sistemas de Informação Empresariais
Unidade curricular: Data Science for Hospitaly and Tourism I
Semestre: Primavera
Número de créditos: 7,5
Docentes: 
Flávio Pinheiro
 (Docente responsável)

Número de horas de aula por semana: 2.00
Objetivos da unidade curricular:

The world most valuable resource is data, not oil. Hence, it is not surprising that organizations increasingly look to have in their ranks experts in the sciences of data who are able to identify the correct sources of data, raise relevant business-oriented questions, and extract useful knowledge and insights for the organization. In that sense, the Data Science for Hospitality & Tourism Course unit explores different techniques to perform a descriptive analysis of data using python, as well as an understanding of how data science benefits from Big Data and the different storing technologies.

Classes will involve a mix of lectures and practical exercises. Moreover, the course will have a strong active learning component, as such students are expected to actively participate in the class and read the recommended materials prior to each class. A short introduction to Python will be delivered in the first weeks of the course to enable students to explore and practice many of the theoretical concepts taught in the classes on their own.

Intended Learning Outcomes:

  • Understand the different nature of data and its sources
  • Explain why python is the preferred programming language for Data Scientists;
  • Perform the extraction, exploration, transformation, and analysis, of data using Python;
  • Perform descriptive analytics that helps you understand your data;
  • Report your analysis using meaningful visualizations and simple models;
  • Understand the role of Big Data Technologies in Data Science
  • Understand the different technologies and architectures for storing data for both Transactional and Analytical operations
Requisitos de frequência:

None

Língua de ensino: Português. Em caso de existirem alunos ou professores estrangeiros, as aulas serão dadas em Inglês.

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