Data analysis methods

Fundamentals of Statistics, Linear algebra
Optimization methods, Mathematical analysis
Data processing software: R, Matlab, Excel, etc.
Regression models (polynomial, autoregressive), regularization
Bayesian statistics, Markov chains
Spectral analysis: PCA and SVD
Data reduction methods: regularized K-means clustering
Time series – basic terms, graphical analysis
Time series – descriptive characteristics, dynamics
Model properties analysis