5 Statistical Concepts You Need to Know Before Your Next Data Science Interview

A data scientist shares insights on common interview questions, focusing on five key concepts: p-value, z-score, linear regression, central limit theorem, and overfitting/underfitting. The article explains each concept in simple terms, providing examples and practical applications relevant to data science roles. It aims to help job seekers prepare for technical interviews by understanding and explaining these fundamental statistical and machine learning concepts.