Dive into a comprehensive 18-hour course on Statistics in Machine Learning. Learn essential statistical concepts and their applications in data science, starting from the basics and progressing to advanced topics. Explore population vs. sample, probability distributions, central limit theorem, correlation coefficients, feature scaling, hypothesis testing, and more. Gain practical skills in handling outliers, performing sampling techniques, and interpreting statistical measures. Apply your knowledge using Python for data analysis and machine learning tasks. Master the fundamentals of probability, permutations, and combinations. Understand the importance of statistics in real-world scenarios and prepare for data science interviews with targeted question discussions.