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 classes, one story. Every class follows Cordillera Mobile, a carrier that wants to know what drives its customers' bills and who is about to cancel. Each class takes that analysis one step further, from Python basics to random forests, and runs in your browser with animated explainers.
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 A weekly advance, every Tuesday. After each session your team hands in the next piece of the project through the team mailbox. You get a grade and comments the following week, so problems surface early.
04 How it is graded. Weekly advances are 30% of the grade and the final project (notebook + presentation) is 70%. Teams present 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