Enrolment options
- Basics on statistics and probability
- Derivatives and integrals (revision)
- Some basics on correlation and causation
- Inferential statistics (population and sample, Weak Law of Large Numbers, Central Limit Theory)
- Descriptive statistics (measures of central tendency, measures of variation, percentiles…)
- Experiments, conditional probabilities, random variables, probability density functions for continuous and discrete random variables, characteristics of probability distributions
- Introduction to estimation (unbiasedness, efficiency, consistency)
- Exercises
- Introduction to econometrics
- What is an econometric model? Variables, parameters
- Linear models and basic assumptions
- Exercises
- R coding
- Installing R and Rstudio
- R environment and packages
- R coding (functions, vectors, dataframes)
- Importing and exporting data
- Data management
- Basic data analysis
- Graphics
- Exercises
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