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The London School of Economics and Political Science: Statistics 2 Part 1: Probability and Distribution Theory

The third in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.

Statistics 2 Part 1: Probability and Distribution Theory
5 weeks
12–15 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

About this course

Skip About this course

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.

At a glance

  • Institution: LSE
  • Subject: Data Analysis & Statistics
  • Level: Intermediate
  • Prerequisites:

    Statistics 2 part 1 assumes no prior knowledge of statistics. Although there are no formal prerequisites for this course, it is strongly recommended to study the LSE statistics courses in order, given the cumulative nature of the subject matter. Statistics 1, Parts 1 and 2, provide a solid foundation for this course.

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills: Probability, Probability Theories, Finance, Econometrics, Distribution Theory, Social Sciences, Statistics, Statistical Theory, Random Variables, Statistical Hypothesis Testing

What you'll learn

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By the end of this course, you will:

  • Have developed key ideas from Statistics 1 that are accessible to a student with a moderate mathematical competence

  • apply and be competent users of standard statistical operators

  • be able to recall a variety of well-known distributions and their respective moments

● Probability theory I

● Probability theory II

● Random variables

● Common distributions of random variables

● Multivariate random variables

This course is part of Statistics Fundamentals MicroBachelors Program

Learn more 
Expert instruction
5 high-quality courses
Self-paced
Progress at your own speed
5 months
11 - 14 hours per week

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