Top 30 Data Scientist Interview Questions — Get Hired
Statistics Questions
1. What is the Central Limit Theorem?
The Central Limit Theorem states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases, regardless of the population distribution.
2. What is the difference between Type I and Type II errors?
Type I Error: False positive — rejecting a true null hypothesis. Type II Error: False negative — failing to reject a false null hypothesis.
Python Questions
5. What is the difference between a list and a tuple?
List: Mutable, can modify. Tuple: Immutable, cannot modify. Tuples are faster and use less memory.
Machine Learning Questions
10. What is overfitting and how to prevent it?
Overfitting is when a model performs well on training data but poorly on new data. Prevention: cross-validation, regularization, dropout, early stopping.
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