Data Science
2025
4
- Advanced Linear Regression: Goodness of Fit, Model Selection, and Collinearity Nonlinear Regression: Intrinsic Nonlinearity, Polynomial Models, and Nonlinear Least Squares
- Markov Chains: Transition Probabilities, State Classification, and Stationary Distributions
- Bayesian Statistics: Inference and Decision
2024
6
- Financial Stochastic Analysis: Derivatives, Binomial Pricing, and No-Arbitrage Theory
- Advanced Probability: Probability Spaces, Random Variables, and Measure-Theoretic Foundations
- Probability and Statistics Exercises: Sampling Distributions, Estimation, and Statistics
- Multivariate Statistics Introduction: Random Vectors, Covariance Matrices, and Multivariate Normal Distributions
- Generalized Linear Regression: Categorical Predictors, Dummy Variables, and Fixed Effects
- Univariate Financial Time Series Analysis: Asset Returns, ARCH/GARCH Effects, and Volatility Modeling