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The world is full of uncertainty: financial markets, gambles, accidents, insurance and noisy communications. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. Course introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. We will then then continue and study topics that include laws of large numbers, central limit theorem, the main tools of Classical and Bayesian inference methods, and Regression.

The world is full of uncertainty: financial markets, gambles, accidents, insurance and noisy communications. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. Course introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. We will then then continue and study topics that include laws of large numbers, central limit theorem, the main tools of Classical and Bayesian inference methods, and Regression.

Preparatory course for MA/PhD Economics.

The world is full of uncertainty: financial markets, gambles, accidents, insurance and noisy communications. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. Course introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. We will then then continue and study topics that include laws of large numbers, central limit theorem, the main tools of Classical and Bayesian inference methods, and Regression.

For taking quizzes and exams of the Target MA (Econ) 2020 course.

For taking quizzes and exams of the Target MA (Econ) 2020 course.

The world is full of uncertainty: financial markets, gambles, accidents, insurance and noisy communications. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. Course introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. We will then then continue and study topics that include laws of large numbers, central limit theorem, the main tools of Classical and Bayesian inference methods, and Regression.

For taking quizzes and exams of the Target MA (Econ) 2019 course.

For taking quizzes and exams of the Target MA (Econ) 2019 course.

The world is full of uncertainty: financial markets, gambles, accidents, insurance and noisy communications. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. Course introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. We will then then continue and study topics that include laws of large numbers, central limit theorem, the main tools of Classical and Bayesian inference methods, and Regression.

The world is full of uncertainty: financial markets, gambles, accidents, insurance and noisy communications. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions. Course introduces the general framework of probability models, multiple discrete or continuous random variables, expectations, conditional distributions, and various powerful tools of general applicability. We will then then continue and study topics that include laws of large numbers, central limit theorem, the main tools of Classical and Bayesian inference methods, and Regression.

For taking quizzes and exams of the Target MA (Econ) 2018 course.

For taking quizzes and exams of the Microeconomics course.

For taking quizzes and exams of the Target MA (Econ) 2017 course.

For taking exams of the Target MA (Econ) 2016 course.

For taking exams of the Target MA (Econ) 2016 course.

For taking quizzes and exams of the Target MA (Econ) 2016 course.

This course is designed to help students in their preparations for Delhi School of Economics entrance examination.

This course aims at sharing basic knowledge of Economics.