Bibliografia

Principal

  • - Dias Curto, José, & Vieira, Duarte (2023). Excel para Economia e Gestão, 5ª Ed., Edições Sílabo, Lisboa, ISBN 978-989-561-290-1. - Lomonaco, Leonardo (2023). EXCEL - A Comprehensive Guide to Become an Expert on Excel 2023 With All-in-One Approach, 1st. Ed., Leonardo Lomonaco, Author edition, ISBN 979-821-534-773-7.:

Secundária

  • - Bernardo, Maria do Rosário; Negas, Mário Carrilho & Isaías, Pedro (2013). Excel Aplicado, FCA Editora, ISBN 978-972-722-755-6. - Dreher, Gil (2023). Excel 2023: The Must-Have Guide to Master Microsoft Excel - From Beginner to Pro in less than 7 Days - Step-by-step Formulas and Functions with Tutorials and Illustration, Gil Dreher, Author edition, ISBN 979-837-552-249-4. - Harvey, Greg (2016). Excel 2016 All-in-One for Dummies. New Jersey: John Wiley & Sons. - Lemonde, Carlos (2024). Python com Excel – Automação e Análise de Dados. Lisboa: FCA. - Martins, António (2019). Aprenda Excel com Casos Práticos, Edições Sílabo, Lisboa, ISBN: 978-972-618-996-1. - Maxwell, Daniel (2024). Excel 2024 Bible: A comprehensive step by step guide from Beginner to Expert. Unlock Simple Strategies to Boost Productivity, Save Time, and Excel in Your Career, ISBN 979-832-120-814-4. - Monk, Ellen F.; Brady, Joseph A. & Mendelsohn, Emilio I. (2017). Problem-Solving Cases in Microsoft Access And Excel, 15th Edition, Course Technology, Cengage Learning, Boston, USA., ISBN 978-133-710-133-2. - Peres, Paula (2014). Excel Avançado (3ª Edição). Lisboa: Sílabo. - Sengupta, Chandan (2009). Financial Analysis and Modeling Using Excel and VBA, 2nd Edition, John Wiley & Sons, USA, ISBN 978-047-027-560-3. - Winston, Wayne L. (2019). Microsoft Excel 2019: Data Analysis and Business Modeling, 6th Edition, Pearson Education, USA., ISBN 978-150-930-588-9.: