  This paper provides the state of the art of data science in economics.
Through a novel taxonomy of applications and methods advances in data science
are investigated. The data science advances are investigated in three
individual classes of deep learning models, ensemble models, and hybrid models.
Application domains include stock market, marketing, E-commerce, corporate
banking, and cryptocurrency. Prisma method, a systematic literature review
methodology is used to ensure the quality of the survey. The findings revealed
that the trends are on advancement of hybrid models as more than 51% of the
reviewed articles applied hybrid model. On the other hand, it is found that
based on the RMSE accuracy metric, hybrid models had higher prediction accuracy
than other algorithms. While it is expected the trends go toward the
advancements of deep learning models.
