Bibliografia

- Rob J Hyndman and George Athanasopoulos, (2018), Forecasting: principles and practice, 2nd Edition, OTexts Melbourne ("fpp2" package CRAN) - Tom Alby, (2024), Data Science in Practice, CRC Press. - Bruce P., Bruce A., and Gedeck P., (2020), Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition, O' Reilly Media, Inc. - Robert I. Kabacoff, (2022), R in Action: Data analysis and graphics with R, Third Edition, Manning Publications Co.:

- Ficheiros (slides e scripts) da UC a disponibilizar no Moodle. Eric Goh Ming Hui, (2019), Learn R for Applied Statistics, Apress. Daniel J. Denis, (2020), Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science, JohnWiley & Sons, Inc.: