Bibliografia

- Materiais diversos fornecidos pelos docentes da UC. - Sharda, R., Delen, D., and Turban, F. (2019) Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Ed). Pearson Education, Inc, USA - Python Data Science Handbook: essential tools for working with Data (2023) (2nd ed.) OReilly Media - Provost, F., and T. Fawcett (2013) Data Science for Business. OReilly Media - Nussbaumer Knaflic, C. (2015) Storytelling with data: a data visualization guide for business professionals. Wiley, USA. - Siegel, E. (2016) Predictive Analytics, 2nd ed. John Wiley & Sons, USA:

- Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., and Becker, B. (2008) The Data Warehouse Lifecycle Toolkit - practical techniques for building data warehouse and business intelligence systems, 2nd ed. John Wiley & Sons, USA - Tan, P-N., Steinbach, M., and Kumar, V. (2006) Introduction to Data Mining. Addison-Wesley. - Cairo, A. (2016) The Truthful Art: Data, Charts and Maps for Communication. New Riders: