Data Science — Intermediate
- Intermediate
- 6 months, 5–8 hrs/week
32 USDper month
You can clean and analyse data. Now learn what separates a data scientist from an analyst: running experiments, building predictive models, and proving they'll hold up on data they haven't seen.
- A/B testing
- Scikit-learn
- Feature engineering
- Model evaluation
Phase 1
Statistics & experiments
Hypothesis tests, confidence intervals and A/B tests, without the proofs.
Phase 2
Machine learning
Regression, classification and trees, plus clustering and PCA, in Scikit-learn.
Phase 3
Models you can trust
Feature engineering, cross-validation, the right metrics, and avoiding leakage.
Phase 4
Capstone
A predictive model for a business problem, presented to a non-technical audience.