You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Mathematics and Applications
  4. Laboratory of Applied Economics

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.
Last updated on: 2023-06-13

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.