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Tomada de Decisão com Visualização de Dados
Tomada de Decisão com Visualização de Dados

Tomada de Decisão com Visualização de Dados

Code	17016
Year	1
Semester	L0
ECTS Credits	1
Workload	TP(10H)
Scientific area	Economics
Entry requirements	Not applicable
Learning outcomes	1. Understand the role and importance of data visualisation in decision-making. 2. Select and apply appropriate data visualisation techniques, following best practices for each data type and context. 3. Use data visualisation tools and software (Excel and Power BI) to create effective and attractive visuals. 4. Communicate and present the data visualisations and knowledge obtained to different audiences and stakeholders.
Syllabus	1. Introduction to data visualisation for decision-making 2. Data manipulation tools and techniques 3. Data visualisation software (Excel and Power BI) 4. Case studies and practical applications
Main Bibliography	Hadley Wickman, Mine Cetinkaya-Rundel and Garret Grolemund, R for Data Science, 2 nd edition, 2023 Aspin, Adam, Pro Power BI Desktop, Apress, 3rd edition, 2020 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, 1st edition, 2013
Teaching Methodologies and Assessment Criteria	The lectures are theoretical-practical and begin with a brief theoretical exposition, followed by immediate practical application in software such as Excel and Power BI. After carrying out the practical activities, the results are interpreted and insights are provided, allowing students to consolidate theoretical knowledge and apply it in real data analysis contexts.
Language	Portuguese. Tutorial support is available in English.