The aim of this mixed research is to analyze the use of flipped classroom in the educational process on financial mathematics considering data science, machine learning (linear regression) and neural network. The sample is composed of 29 people who studied the career of Marketing and took the Financial Mathematics course during the 2018 school year. The results of machine learning indicate that the consultation of the English and Spanish videos before the class, the realization of the exercises collaboratively through the spreadsheet and dissemination of the answers about the exercises through Google Drive during the class and the realization of the online exams and laboratory practices after the class positively influence the development of mathematical skills about simple interest. Data science identifies 6 predictive models about the use of flipped classroom. On the other hand, the neural network identifies the aspects of flipped classroom that most influence the development of mathematical skills during the educational process on financial mathematics. Also, the students of Marketing consider that flipped classroom allows the construction of new educational spaces through the use of technology. Finally, flipped classroom is a pedagogical model that transforms the teaching-learning conditions and updates the organization of the activities before, during and after the class.