Statistics for Data Science: From Basics to Inference
Statistics for Data Science: From Basics to Inference Statistics is the backbone of data science. It helps you turn raw numbers into clear answers, judge how sure you are about those answers, and decide what to do next. This guide walks through the basic ideas and shows how to use them in real projects. Descriptive statistics Descriptive statistics summarize data. Common tools are the mean, median, mode, range, and standard deviation. They describe what you see and can flag obvious problems, like a strange outlier or a skewed distribution. A quick example: a dataset with daily users over a month has an average of 3,200 visits per day and a standard deviation of 480. This tells you not just the size of the audience, but how stable it is. ...