Introduction to Probability Theory for Applied Statistics
- Introduction to Probability Theory for Applied Statistics (remote course)
- This ten-hour course will cover the main aspects of probability theory needed to have a good command of the main tools used in applied statistics. Course topics include a description of the most common univariate and bivariate probability distributions, the distributions related to the normal distribution and a discussion of conditional probabilities. At the end of the course you will be able to understand most probability calculations in scientific papers and make your own calculations, if needed. You will know where the chi-square, the t and the F distributions come from and how they are formulated.
- This course is suitable for people with some elementary knowledge of calculus (integration and derivation) and linear algebra.
- At the end and during the course you will have access to the lecture notes and to unique and dedicated python scripts useful to understand and solve the exercises.
