This course provides a complete and structured introduction to Probability and Statistics, designed for beginners who want to build a strong mathematical foundation. It starts with an overview of probability concepts and gradually develops into more advanced topics such as combinatorics, sample spaces, and event analysis.
You will first learn the basics of probability, including intuitive explanations using simple examples like coin flips and dice. This helps you understand how probability works in real-life situations. Then, the course introduces counting techniques using combinatorics and factorials, which are essential for solving more complex probability problems.
Next, you will explore set theory in probability, where you will learn about sample spaces, events, and how they are represented mathematically. This section strengthens your logical thinking and problem-solving skills.
The course also covers interesting real-world problems such as the Birthday Problem, which demonstrates surprising results in probability theory.
By the end of this course, you will be able to analyze uncertain events, calculate probabilities using different methods, and understand the fundamental principles of statistics. This knowledge is essential for data science, machine learning, and analyt
