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Models that predict: from the line to the trees

Models that predict: from the line to the trees

Your copilot fits a model in seconds and hands you some coefficients, an error rate and a chart. The hard part is no longer fitting it: it is knowing how to read what is inside. This course goes through, in four blocks, the models most used to predict a quantity or a yes-or-no, and for each one first teaches you to read it: what each coefficient says, what it assumes and which variable might be missing.

Private Course
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Responsible Carlos Pascual
Last Update 2026-10-06
Completion Time 5 hours 10 minutes
Members 1
Intermediate Data, Analytics and AI
  • Block 1: Several variables: reading the knobs of a regression
    3Lessons · 1 hr 15 min
    • From one knob to several
    • Categories, interaction effects and residuals
    • Block 1 exam
      10 xp
  • Block 2: Forecasting over time: trend, seasonality and the rule without a model
    3Lessons · 1 hr 15 min
    • Anatomy of a series
    • Forecasting without cheating
    • Block 2 exam
      10 xp
  • Block 3: Classifying: from probability to the tree
    3Lessons · 1 hr 20 min
    • Predicting a yes or a no
    • A tree: chained questions
    • Block 3 exam
      10 xp
  • Block 4: Many trees, and when not to train anything
    3Lessons · 1 hr 15 min
    • Forests: many models are better than one
    • Train a model or ask one that is already trained?
    • Block 4 exam
      10 xp