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Certificate in ARIMA and Time Series Forecasting

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Time Series Basics
3 Topics
What is a Time Series?
Modeling vs. Predicting
Power, Log, and Box-Cox Transformations
Financial Basics
3 Topics
Financial Time Series Primer
Random Walks and the Random Walk Hypothesis
The Naive Forecast and the Importance of Baselines
ARIMA
20 Topics
ARIMA Section Introduction
Autoregressive Models – AR(p)
Moving Average Models – MA(q)
ARIMA
ARIMA in Code
Stationarity
Stationarity in Code
ACF (Autocorrelation Function)
PACF (Partial Autocorrelation Function)
ACF and PACF in Code (pt 1)
ACF and PACF in Code (pt 2)
Auto ARIMA and SARIMAX
Model Selection, AIC and BIC
Auto ARIMA in Code
Auto ARIMA in Code (Stocks)
ACF and PACF for Stock Returns
Auto ARIMA in Code (Sales Data)
How to Forecast with ARIMA
Forecasting Out-Of-Sample
ARIMA Section Summary
Setting Up Your Environment
3 Topics
Pre-Installation Check
Anaconda Environment Setup
How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow
Python Coding for Beginners
4 Topics
How to Code Yourself (part 1)
How to Code Yourself (part 2)
Proof that using Jupyter Notebook is the same as not using it
How to use Github & Extra Coding Tips
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