Laboratory of Applied Economics

Code	14812
Year	3
Semester	S2
ECTS Credits	6
Workload	TP(60H)
Scientific area	Economics
Entry requirements	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 and Power BI). • 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	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, 1str edition, 2013
Language	Portuguese. Tutorial support is available in English.