Due to the increasing volume of data, the urgency to look for suitably qualified data scientists has grown. Thus, Brazilian Higher Education Institutions (HEIs) have tried to answer this demand. In this scenario, the objective of this paper is to perform a characterization of undergraduate courses in Data Science. Thus, we aim to answer questions such as: have the courses been offered in the vast majority by public or private universities? When did they start being offered? Are they usually ODL (Online Distance Learning or in-person? Are they the technological type or baccalaureate? What groups of disciplines most make up the curriculum? In which regions of the country are they concentrated? How is the offer of vacancies and what is the profile of admissions in bachelor and technological courses? For this, the e-MEC databases and the 2021 Higher Education Census were combined, and it was decided to explore and visualize data using the MCA technique. Among the results, it is observed that there is a certain balance between the in-person and online learning modalities, in addition to the fact that most of the courses are of the technological type and are usually offered by private HEIs. Regarding the regions, a significant number of in-person undergraduate courses are concentrated in the Southeast region of Brazil.

Devido ao aumento de volume de dados, a urgência na busca de cientistas de dados devidamente qualificados têm crescido. Desta forma, as Instituições de Ensino Superior (IES) brasileiras têm buscado suprir tal demanda. Neste enredo, o objetivo deste artigo é realizar uma caracterização dos cursos de graduação em Ciência de Dados. Assim, buscou-se responder questionamentos como: os cursos têm sido ofertados em grande maioria pelas universidades públicas ou privadas? Quando começaram a ser ofertados? Costumam ser EAD (ensino à distância) ou presenciais? São do tipo tecnológico ou bacharelado? Quais grupos de disciplinas mais compõem a grade? Em quais regiões do país se concentram? Como é a oferta de vagas e qual é o perfil de ingressos em cursos do tipo bacharelado e tecnológico? Para isso, utilizou-se a junção das bases do e-MEC e do Censo da Educação Superior de 2021 e optou-se por fazer a exploração e visualização de dados considerando a técnica ACM. Entre os resultados, observa-se que há um certo equilíbrio entre as modalidades presencial e EAD, além de que em grande parte os cursos são do tipo tecnológico e costumam ser ofertados por IES privadas. Acerca das regiões, nota-se uma grande concentração de cursos presenciais na região Sudeste do Brasil.

ABSTRACT In this paper, a new software for Statistical Process Control (SPC) is proposed. The system, the so-called CEP Online, was developed based on statistical computing resources of well-known free softwares, such as HTML, PHP, R and MySQL under an online server with operating system Linux Ubuntu. The main uni and multivariate SPC tools are available for monitoring and evaluation of manufacturing and non-manufacturing production processes over time. Some advantages of the new software are: (i) low operational cost, since it is cloud-based, only needing a computer connected to the Internet; (ii) easy to use with great interaction with the user; (iii) it does not require investment in any specific hardware or software; (iv) real time reports generation on process condition monitoring and process capability. Thus, the CEP Online offers for SPC practitioners fast, efficient and accurate SPC procedures. Therefore, CEP Online becomes an important resource for those who have no access to non-free softwares, such as SAS, SPSS, Minitab and STATISTICA. To the best of our knowledge, the CEP Online is unique with respect to its characteristics.

ABSTRACT In this paper we present the development of a modulated web based statistical system, hereafter MWStat, which shifts the statistical paradigm of analyzing data into a real time structure. The MWStat system is useful for both online storage data and questionnaires analysis, as well as to provide real time disposal of results from analysis related to several statistical methodologies in a customizable fashion. Overall, it can be seem as a useful technical solution that can be applied to a large range of statistical applications, which needs of a scheme of devolution of real time results, accessible to anyone with internet access. We display here the step-by-step instructions for implementing the system. The structure is accessible, built with an easily interpretable language and it can be strategically applied to online statistical applications. We rely on the relationship of several free languages, namely, PHP, R, MySQL database and an Apache HTTP server, and on the use of software tools such as phpMyAdmin. We expose three didactical examples of the MWStat system on institutional evaluation, statistical quality control and multivariate analysis. The methodology is also illustrated in a real example on institutional evaluation. A MWStat module was specifically built for providing a real time poll for teacher evaluation at the Federal University of São Carlos (Brazil).

ABSTRACT In this paper we propose a simulation-based method for predicting the 2010 and 2014Football World Cup. Adopting a bayesian perspective, we modeled the number of goals of two opposing teams as a Poisson distribution whose mean is proportional to the relative technical level of opponents. FIFA ratings were taken as the measure of technical level of teams and experts' opinions about scores of matches were taken to construct prior distribution of parameters. Just before each round, tournament simulations were performed in order to estimate probabilities of events of main interest for audience and bettors such as qualifying to the knockout stage, reaching semi-finals, reaching the final match, winningthe tournament, among others.

O ensino da ciência estatística é obrigatório em praticamente todos os cursos de graduação das universidades brasileiras. Além disso, vários são cursos de Graduação em Estatística, distribuídos pelas várias universidades nacionais. Entretanto, apesar da importância desta ciência, não existem, na literatura nacional, estudos sistemáticos direcionados à caracterização dos docentes responsáveis pelo ensino da ciência estatística no país. Neste contexto, apresentamos, neste artigo, uma descrição de tais docentes, particularmente, no que tange aos cursos de Graduação em Estatística Esta descrição foi realizada por meio de um levantamento amostral descritivo, relacionado aos aspectos de sua formação e produção científica, sendo finalizada com a apresentação da previsão de demanda de Doutores em Estatística necessários para suprir as vagas em aberto a partir das ocorrências das aposentadorias dos docentes das Graduações em Estatística no país.

Statistics is a required course in virtually all undergraduate programs in Brazilian universities. In addition, undergraduate programs in Statistics are offered in many public universities. However, despite the importance of this science, there are no systematic studies in the national literature regarding the characterization of the faculty staff, which is responsible for the teaching of statistics in the country. In this context, this paper presents a description of the faculty members of undergraduate courses in Statistics. This description was based on a descriptive sample, related to aspects of their education and scientific production. A prediction of future demand for PhDs in Statistics to fill the vacancies is also provided based on the retirement of faculty members in undergraduate courses in Statistics in the country.