The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management. This resource is a companion site to 6.041SC Probabilistic Systems Analysis and Applied Probability. It covers the same content, using videos developed for an edX version of the course.

The course will cover topics in a standard syllabus in engineering degree programmes. But other students are also welcome to attend. Each concept in this introductory course will be illustrated with examples and reinforced with problems. By the end of the course, the student will have attained a fair degree of familiarity with basic statistical concepts of estimation and testing and would be well conversant with probabilistic concepts and standard probability distributions. The lectures will be in HINDI, with writing in English.

The Introduction to Probability and Statistics NPTEL course aims to provide a fundamental understanding of probability theory, random variables, and statistical inference to students and professionals. It enables learners to apply these concepts, including estimation, hypothesis testing, and regression analysis, to real-world engineering and science problems.