Course overview
- Homework: 60 minutes a week
- Prerequisite: Introduction to Data Science, or equivalent.
What you’ll learn
Machine learning, end to end
- Python and NumPy groundwork for machine learning
- Data preparation: cleaning real, messy datasets
- Statistical analysis before any model is trained
- Classification, and decision-tree classifiers
- Regression models and their applications
- Unsupervised learning — finding structure without labels
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Is this the right level?
Students ready to move from analyzing data to predicting with it. New to Ardent? A short placement confirms the fit. Schedule a placement →