Data Science Interview Preparation Guide — Get Hired
Interview Structure
Most data science interviews have 3-4 rounds:
- Round 1: Technical screening (SQL, Python basics)
- Round 2: Statistics & ML concepts
- Round 3: Case study / take-home project
- Round 4: Behavioral / HR round
Key Topics to Prepare
- SQL: JOINs, window functions, optimization
- Python: Pandas, NumPy, scikit-learn
- Statistics: Probability, hypothesis testing, A/B testing
- ML: Algorithms, evaluation metrics, feature engineering
- Deep Learning: CNN, RNN, transformers basics
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