edX
edXStatistics 2 Part 1: Probability and Distribution Theory
165 studentsINTERMEDIATEEnglish
Korshub's take
If you're moving beyond basic statistics into econometrics or quantitative finance, this LSE intermediate course provides the theoretical scaffolding you need. Part 1 drills into probability and distribution theory—the mathematical bedrock underlying statistical inference.
The emphasis on fields like finance and econometrics keeps the material grounded in real applications. Whether you're modeling market behavior, testing hypotheses about economic data, or building predictive models, the probability foundations here matter. You'll strengthen your ability to work with random variables and multivariate distributions, tools essential for anyone serious about data-driven decision-making in finance or social science research.
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.
Price
$199.20
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