The methods track: how to take online review data and get a defensible answer out of it, for a journal submission or for a Monday decision. Every method is run on the same review data, in Colab, with the code given to you. No prior econometrics assumed, and nothing is asserted that the data cannot carry.
What review data actually is, where it comes from, what it hides, and how to set up a working environment before you analyze anything.
One chapter per method, each on the same review data: text to numbers, panel regression, causal inference, forecasting, space, theory testing, and prediction.
Whole analyses end to end, and an honest read on what this field can and cannot yet do.
The operator track: what these tools do, what your own data already says, and how to get a decision out of it. Starts from zero, no coding assumed, and every chapter ends with something you can use.
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