Conteúdo / Main content

Início
Cursos
Matemática e Aplicações
Laboratório de Economia Aplicada

Laboratório de Economia Aplicada

Código	14812
Ano	3
Semestre	S2
Créditos ECTS	6
Carga Horária	TP(60H)
Área Científica	Economia
Mode of delivery	Face-to-face
Work placements	Not applicable
Learning outcomes	• To train students in the advanced use of spreadsheet for presentation and transformation of data. • To empower students for the manipulation of large volumes of data. • To empower students to use data analysis and visualization software (Excel, Power BI and R). • To empower students with the clear and effective presentation of data driven insights.
Syllabus	1 - Data types and structure 2 - Introduction to databases 3 - Data collection 4 - Data preparation 5 - Data transformation 6 - Data visualization 7 - Extraction of data information
Main Bibliography	Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund, R for Data Science (2e), 2023 Aspin, Adam, Pro Power BI Desktop, Apress, 2nd edition, 2018 Guerrero, Hector,. Excel Data Analysis: modeling and simulation, Spinger, 2nd edition, 2019. Provost, Foster e Fawcett, Tom,. Data Science for Business: What you need to know about data mining and data-analytic thinking, 1str edition, 2013
Language	Portuguese. Tutorial support is available in English.

Regente


	Tiago Afonso

Curso

Matemática e Aplicações

As cookies utilizadas neste sítio web não recolhem informação pessoal que permitam a sua identificação. Ao continuar está a aceitar a política de cookies.