Statistics · Columbia University
I learned AR, MA, ARIMA, SARIMA models, specifically, I learned how to choose the parameters and how to validate my findings.
ch 1-9 Probability and Statistics for Engineering and the Sciences Enhanced (7th Edition) by Jay L. Devore
Basics of time-series analysis: probability & statistics review, ARMA processes, GARCH models, how to do computations in R.
basic statistical concepts, and a little bit of R
probability distribution - expected values - variations - probability - normal distribution - etc
Time series, AR, MA, ARMA, ARIMA, SARIMA, ARCH, and GARCH processes.
We learned basic statistics and how to think about things statistically.
I learned a lot time series models such as AR, MA as well as ARMA, ARIMA, seasonal ARIMA, GARMCH, etc.
I learned how to code in R, I also learned a lot about how to analyze data
Basics of probability, discrete random variables and Continuous random variables.