Statistics: The Backbone of Data Science Explained

Statistics provides the mathematical framework for collecting, analyzing, and interpreting data in data science. Key methods include descriptive statistics, probability theory, inferential statistics, hypothesis testing, and regression analysis. These techniques enable data scientists to uncover patterns, validate models, and make predictions across fields like finance and healthcare.