A Histogram in Data Science is a powerful visualization tool used to represent the distribution of numerical data. It helps analysts understand data patterns, frequency, and variability at a glance. Learning how to make a histogram involves organizing data into bins and plotting frequencies to reveal trends or outliers. In this step-by-step guide, you’ll explore how to create histograms using real data science examples, making it easier to interpret large datasets and derive meaningful insights for analysis and decision-making.