Prólogo (by Julia Silge)
If you are a Spanish speaker interested in data science who has picked up this book, you are in for a treat, whether you are a student, researcher, or industry professional. Although there are many excellent introductory books for getting started with R and data science, they are almost all written in English; there has been a dearth of books written by Spanish speakers for Spanish speakers. Fundamentals of Data Science with R takes a comprehensive approach to learning R and data science, covering topics from descriptive statistics to spatial analysis to machine learning. I was particularly happy to see how this textbook focuses on case studies, from the fields of economics, medicine, politics, sports, marketing, and more, so that you can see real-world applications of these topics. Be sure to check out the CDR R package that the authors have created to give you access to these datasets for your own learning and practice.
More than 40 collaborators have come together to contribute chapters to this textbook, providing you as the reader with a variety of perspectives on these important topics. These experts walk you through many of the abstract methodological concepts you will face doing data science, such as ethics in data science and data governance, as well as the practical tools you will need for data science tasks, such as Quarto, Shiny, and Git. I wish you all the best as you embark on your journey into learning R and growing as a responsible, effective data scientist and am so happy that you have this book as your Spanish language companion!
Julia SilgeShort biography
Julia Silge is a data scientist and software engineer at Posit PBC where she works on open source modeling and MLOps tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning. She is an author of Text Mining with R, Supervised Machine Learning for Text Analysis in R, and Tidy Modeling with R.