Dive into a comprehensive 6-hour video playlist covering essential probability concepts for data science. Learn the fundamentals of probability, including its definition, calculation methods, and key laws. Explore various types of events, probability distributions, and statistical approaches. Master topics such as independent events, OR and AND operations, equally likely events, correlation conditions, F-distribution, sum of squares, ANOVA tests, hypothesis testing, and more. Gain practical knowledge through examples and problem-solving techniques, preparing you to apply probabilistic thinking in data science scenarios. Progress from basic principles to advanced topics like bivariate and multivariate probability, equipping yourself with the statistical foundation necessary for success in the field of data science.