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Introduction to Time Series
About This Course
Course Structure
The Basics of Time Series
Stochastic Processes
Recurrence and Stationarity
Some Basic Examples of Time Series
Our Use Case
Quiz
Exploring Data
Moments of a Time Series: Mean and Variance
Moments of a Time Series: Skewness and Kurtosis
Histograms and Density Plots
Normality, the Q-Q Plot and the Jarque-Bera Test
Quiz
Project
Analyze Time Series Data Using Markov Transition Fields
The Properties of Time Series
Integration
A Note on Stocks vs. Returns
The Dickey-Fuller Test
The KPSS and Phillips-Perron Tests
Autocorrelation
Partial Autocorrelation
Testing for Autocorrelation
Trends, Seasons, and Cycles
Filters
Quiz
ARIMA Models
Moving Average Processes (MA)
Autoregressive Processes (AR)
ARMA and ARIMA Processes
Seasonal ARIMA
Quiz
On Prediction
Prediction Loss
Forecasting with ARIMA Models
Forecast Confidence
Quiz
Choosing, Fitting, and Evaluating Models
Identifying and Fitting Candidate Models
Goodness of Fit and Information Criteria
Splitting Time Series Data
Diagnostic Checks
Out-of-Sample Forecasting and Evaluation
Quiz
Conclusion
Conclusion
Appendix
Download the Temperatures Data
Credits and Links
Course Assessment
What have you learned?
Project
Time Series Forecasting with Prophet in Python
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