This series explores the fundamentals of statistical analysis in the context of data science. It covers key topics such as descriptive statistics, probability theory, hypothesis testing, regression analysis, and data visualization. Each post provides a concise overview of the topic, introduces important concepts, and offers practical examples and exercises for beginners. By the end of the series, readers will have a solid understanding of statistical analysis techniques and their application in data-driven decision making.