How to prepare for a data science interview in 30 days?

**Week 1 — Statistics & Probability**
- Probability distributions, Bayes theorem
- Hypothesis testing, p-values
- A/B testing basics

**Week 2 — Machine Learning**
- Regression, classification, clustering algorithms
- Bias-variance tradeoff, cross-validation
- Feature selection, regularisation

**Week 3 — Python & SQL**
- Pandas operations, data cleaning
- SQL joins, window functions, CTEs
- 5 Kaggle datasets end-to-end

**Week 4 — Mock Interviews**
- Pramp or peers for mock interviews
- Explain your projects clearly
- Practice case studies and business problems