Statistics 2 Part 1: Probability and Distribution Theory

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Free Online Course: Statistics 2 Part 1: Probability and Distribution Theory provided by edX is a comprehensive online course, which lasts for 5 weeks long, 12-15 hours a week. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from edX. Statistics 2 Part 1: Probability and Distribution Theory is taught by James Abdey.

Overview
  • Statistics 2 Part 1 is a self-paced course from LSE which aims to develop your knowledge of elementary statistical theory, particularly relating to the concepts, methods and techniques of measurement and hypothesis testing that were introduced in Statistics 1, Parts 1 and 2. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals.

    Part 1, Probability and Distribution Theory, covers the following topics:

    ● Probability theory I

    ● Probability theory II

    ● Random variables

    ● Common distributions of random variables

    ● Multivariate random variables

    There is an emphasis on topics that relate to econometrics, finance and quantitative social science. Concepts and methods that provide the foundations for more specialised undergraduate-level courses in statistics and econometrics are introduced.

Syllabus
  • ● Probability theory I

    ● Probability theory II

    ● Random variables

    ● Common distributions of random variables

    ● Multivariate random variables