The importance of statistics in data science, how to redesign classroom learning in the TEC21 educative model.

In recent years we have seen an exponential increase in data science in any area of our lives, and it is a cornerstone of technological advances in the last decade. This advance in data science would not be possible without a rebirth of Statistics. Until a few years ago Statistics was considered a support course for engineering courses, Nowadays Statistics has taken a relevant role as a fundamental science for generating Data Science. Machine Learning would not be possible without analysing data patterns and approximating them to probability distributions to generate self-learning algorithms. A new vision of linear regression allows analysing the relationship between different variables under analysis that can predict the response variable. At the Tecnologico de Monterrey, subjects such as Design of experiments, Probability, and Statistics have been focused on supporting the analysis of data science, redesigning the way of learning in the classroom, and seeking a new mentality in students to develop their data analysis skills. Students can analyse complex situations through problem-solving and Statistics.