1.2 Educational resources

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 Academy9 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.

Tip Watch the video Why is 0! = 1?, can help with binomial (Section 3.7.2) or 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 Studies10, some videos are also available at http://www.leg.ufpr.br/~paulojus/transversal2021/ under the coordination of Prof. 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 Kaggle

Kaggle is an online community of data analysts. It allows users to find and publish databases, collaboratively explore and build models, and enter competitions to solve data challenges.

Exercise 1.4 Download the RAVDESS database, preferably via the command line.
(a) Apply the functions from the voice package.
(b) Compare by actor, gender, intensity and emotion.

1.2.9 UCI Machine Learning Repository

The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. There are currently more than 600 datasets available, and all datasets can be viewed through a searchable interface by referencing the material used in accordance with the citation policy.

  1. According to official information, it is a non-profit organization with the mission ‘to provide a free, world‑class education for anyone, anywhere’.↩︎

  2. PRPPG-Pró-Reitoria de Pesquisa e Pós-Graduação.↩︎