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Time Series in Python
Utilizing time-series data for predictive analytics.
16
Course Overview
(05:26)
Getting started with Anaconda Notebooks
Course Overview
Foundation of Time Series Data
(28:35)
Foundation of Time Series Data
Time Series Basic Functions
Stationary Data
Stationary Data Continued
Visualization of Time Series
(13:24)
Line Plots and Seasonal Decomposition Plots
Autocorrelation and Partial Autocorrelation Plots
Time Series Forecasting
(30:21)
Forecasting: Modeling Setup
Autoregressive (AR) Models
Moving Average (MA) Models
Model Evaluation and Validation
(12:02)
Training Data
Testing Data
Real-world Time Series Analysis
(04:41)
Time Series Prediction Example
Conclusion
(01:05)
Conclusion
End of course survey