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Schedule

The course runs for 6 weeks: 5 content sessions and one session for final presentations. Both sections cover exactly the same material each week.

Week Casa Central
Wednesday 16:05–18:40		 Vitacura
Friday 11:05–13:40		 Session Weekly advance
1 Oct 28 Oct 30 Python in Google Colab Advance 1, due Tue Nov 3
2 Nov 4 Nov 6 Data analysis with pandas Feedback on 1 · Advance 2, due Tue Nov 10
3 Nov 11 Nov 13 Linear regression and model evaluation Feedback on 2 · Advance 3, due Tue Nov 17
4 Nov 18 Nov 20 Classification: logistic regression and metrics Feedback on 3 · Advance 4, due Tue Nov 24
5 Nov 25 Nov 27 Trees, random forests, and communicating results Feedback on 4 · Final project, due Tue Dec 1
6 Dec 2 Dec 4 Final presentations Final assessment

Key project dates

  • Team and case registration: at the end of session 1, in the team mailbox.
  • Weekly advances: every Tuesday at 23:59 (Nov 3, 10, 17, and 24), through the mailbox. They are 30% of the grade.
  • Notebook and slides due: Tuesday, December 1, 23:59 (both sections).
  • Presentations: during each section's class time, December 2 (Casa Central) and December 4 (Vitacura).

Each session lasts 2 hours and 35 minutes and has two parts: a class that moves the Cordillera Mobile analysis one step forward, with live coding and interactive explainers, and, after a break, a workshop where teams take the same step in their own project.

Session 1 · Python in Google Colab

Casa Central: Wednesday, October 28 · Vitacura: Friday, October 30

By the end you can: open and run notebooks in Colab; work with variables, data types, lists, dictionaries, conditionals, and functions; and operate on NumPy arrays.

Workshop: form teams, register them in the mailbox, choose a case, and load the data into a shared notebook. → Advance 1, due Tuesday, November 3.

Session 2 · Data analysis with pandas

Casa Central: Wednesday, November 4 · Vitacura: Friday, November 6

By the end you can: read CSV and Excel files; select, filter, group, and sort data; spot missing values, duplicates, and inconsistent categories; and build exploratory charts with seaborn.

Workshop: feedback on Advance 1; cleaning and exploratory analysis of your case. → Advance 2, due Tuesday, November 10.

Session 3 · Linear regression and model evaluation

Casa Central: Wednesday, November 11 · Vitacura: Friday, November 13

By the end you can: split data into training and test sets, encode categorical variables, train a linear regression, interpret its coefficients, measure error (MAE, RMSE, R²), and recognize overfitting.

Workshop: feedback on Advance 2; prepare the data for modeling and train your first model. → Advance 3, due Tuesday, November 17.

Session 4 · Classification: logistic regression and metrics

Casa Central: Wednesday, November 18 · Vitacura: Friday, November 20

By the end you can: train a logistic regression, read a confusion matrix, choose between accuracy, precision, recall, and F1 based on the cost of each error, and adjust the decision threshold.

Workshop: feedback on Advance 3, then a modeling clinic: each team brings its baseline model and we review it together. → Advance 4, due Tuesday, November 24.

Session 5 · Trees, random forests, and communicating results

Casa Central: Wednesday, November 25 · Vitacura: Friday, November 27

By the end you can: train decision trees and random forests, control their complexity, read feature importance, compare models with a ROC curve, and build a presentation using the pyramid principle.

Workshop: feedback on Advance 4; compare models and structure the final presentation. → Final submission, due Tuesday, December 1.

Session 6 · Final presentations

Casa Central: Wednesday, December 2 · Vitacura: Friday, December 4

Each team presents its project: 10 minutes of presentation and 5 of questions. The presentation order is published on Monday, November 30. Details are in the project brief.

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