  Nowadays it is inevitable to use intelligent systems to improve the
performance and optimization of different components of devices or factories.
Furthermore, it's so essential to have appropriate predictions to make better
decisions in businesses, medical studies, and engineering studies, etc. One of
the newest and most widely used of these methods is a field called Data Science
that all of the scientists, engineers, and factories need to learn and use in
their careers. This article briefly introduced data science and reviewed its
methods, especially it's usages in mechanical engineering and challenges and
ways of developing data science in mechanical engineering. In the introduction,
different definitions of data science and its background in technology
reviewed. In the following, data science methodology which is the process that
a data scientist needs to do in its works been discussed. Further, some
researches in the mechanical engineering area that used data science methods in
their studies, are reviewed. Eventually, it has been discussed according to the
subjects that have been reviewed in the article, why it is necessary to use
data science in mechanical engineering researches and projects.
