DS302: Modelling & Algorithm Development

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SFIA Reference: DSCI Level 4/5

Data Scientist (Grade 3)

Competency Description

Develops and evaluates statistical and machine learning models to support predictive or classification tasks.

Learning Outcomes

  • Train models using regression, classification, and clustering.
  • Evaluate model performance using appropriate metrics.
  • Tune hyperparameters for optimal outcomes.

Evidence Requirements

Level 4:

  • Delivered a predictive model with business impact.
  • Explained modelling choices and results. Level 5:
  • Built and evaluated multiple model types for comparison.
  • Contributed to internal model review or audit processes.

Suggested Learning Activities

  • Kaggle challenge or internal predictive task.
  • Azure ML or Databricks modelling lab.
  • Case study write-up on a delivered model.

Recommended Resources

  • Microsoft Learn: “Machine Learning in Azure”
  • Internal Notebook Library: Modelling Examples

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