1.2 Educational resources
Feliz aquele que transfere o que sabe e aprende o que ensina. (Coralina 1983), tip from Eduardo Marinho
1.2.1 Teacher’s webpage
At filipezabala.com the student will find a series of educational resources such as handouts, videos and articles. At github.com/filipezabala a series of repositories created by the teacher are available.
Exercise 1.3 For an introduction to the basics of R, watch the videos available in the Open Source Data Science playlist (in Portuguese).
1.2.2 Khan Academy
Khan Academy8 has a wide range of free materials, which can support the student during the course. The following list indicates the main foundations necessary for good content development.
1. Algebra
2. Probability and Statistics
3. Calculus
1.2.3 Eddie Woo
On his channel, Eddie Woo talks about Mathematics in an intuitive and direct way. Watch the video Why is 0! = 1?, can help with binomial (Section 3.7.2) and Poisson (Section 3.7.4) distributions.
1.2.4 UFPR
UFPR’s Department of Statistics (DEST) provides basic statistics videos in Portuguese for its courses. The videos can be accessed at http://www.leg.ufpr.br/estbas. Within the program of transversal disciplines of the PRPPG-Pro-Rectory of Research and Graduate Studies9, some videos are also available at http://www.leg.ufpr.br/~paulojus/transversal2021/ under the coordination of professor Paulo Justiniano Ribeiro Junior.
1.2.7 Seeing theory
Seeing Theory is a website created with the aim of making Statistics more accessible through interactive visualizations. It was created by Daniel Kunin while an undergraduate at Brown University.
1.2.8 Advanced
- Zabala (2025) - Estatística Avançada (in Portuguese)
- Gagolewski (2024) - Deep R Programming
- Gillespie (2021-03-18) - Efficient R programming
- Wickham (2019) - Advanced R
- Peng & Matsui (2017-04-26) - The Art of Data Science
- Doyle, Grinstead and Snell (2006-07-04) - Grinstead and Snell’s Introduction to Probability
- Wasserman (2003) - All of Statistics