  Data and Science has stood out in the generation of results, whether in the
projects of the scientific domain or business domain. CERN Project, Scientific
Institutes, companies like Walmart, Google, Apple, among others, need data to
present their results and make predictions in the competitive data world. Data
and Science are words that together culminated in a globally recognized term
called Data Science. Data Science is in its initial phase, possibly being part
of formal sciences and also being presented as part of applied sciences,
capable of generating value and supporting decision making. Data Science
considers science and, consequently, the scientific method to promote decision
making through data intelligence. In many cases, the application of the method
(or part of it) is considered in Data Science projects in scientific domain
(social sciences, bioinformatics, geospatial projects) or business domain
(finance, logistic, retail), among others. In this sense, this article
addresses the perspectives of Data Science as a multidisciplinary area,
considering science and the scientific method, and its formal structure which
integrate Statistics, Computer Science, and Business Science, also taking into
account Artificial Intelligence, emphasizing Machine Learning, among others.
The article also deals with the perspective of applied Data Science, since Data
Science is used for generating value through scientific and business projects.
Data Science persona is also discussed in the article, concerning the education
of Data Science professionals and its corresponding profiles, since its
projection changes the field of data in the world.
