Universidad Técnica Federico Santa María · Intensive format
Machine Learning and Business Applications
Six weeks to learn Python in Google Colab, analyze real data, train machine learning models, and present a project that brings all of it together.
October 26 — December 4, 2026
Sections
Casa Central campus
Wednesdays, 16:05 to 18:40
First class: Wednesday, October 28
Final presentations: Wednesday, December 2
Vitacura campus
Fridays, 11:05 to 13:40
First class: Friday, October 30
Final presentations: Friday, December 4
How it works
01 Five content sessions. Python and Colab, data analysis with pandas, regression, classification, and trees. Every session mixes explanation with live coding.
02 One project that grows with the course. From the first class you work in a team on a business case. Each session ends with a workshop where you apply what was just covered.
03 Sprints to track progress, not to grade it. Three progress reviews with traffic-light feedback. They help you catch problems early and do not count toward your grade.
04 A single assessment. The final project (notebook + presentation) is 100% of the grade. It is presented in the first week of December.
Instructor
Sebastián Azócar
Mathematical engineer with a master's degree in Data Science. Data scientist at LATAM Airlines and lecturer in machine learning, econometrics, and AI at USM. Contact: hizocar@gmail.com · LinkedIn · hizocar.github.io