Tools for Economics

Code	16513
Year	1
Semester	S2
ECTS Credits	6
Workload	TP(60H)
Scientific area	Economics
Entry requirements	Not applicable.
Mode of delivery	Face-to-face
Work placements	Not applicable
Learning outcomes	1. Introduce students to information search and processing techniques; 2. Enable students to perceive the fundamental characteristics of economic and business variables; 3. Enable students to use spreadsheets in an advanced way for data presentation and transformation; 4. Enable students to display results using large volumes of data.
Syllabus	1. Tools to support the economy: fundamental concepts and typologies; 2. Data collection; 3. Data preparation; 4. Data analysis methods and techniques; 5. Presentation of results.
Main Bibliography	Guerrero, Hector,. 2019. Excel Data Analysis: modeling and simulation, Springer, 2nd edition. Provost, Foster e Fawcett, Tom,. 2013. Data Science for Business: what you need to know about data mining and data-analytic thinking, 1st edition.
Language	Portuguese. Tutorial support is available in English.