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Churn analysis. Extracting a customer dataset.
In the second video of the series, Carl Gold demonstrates module number 2: Extracting a Customer Dataset. The objective of this milestone is: - Having identified customers who were retained and who churned, look at their metrics to figure out what behaviors lead to retention and which lead to churn....
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Manning Publications,
[2022]
|
| Edición: | [First edition]. |
| Colección: | Fighting churn.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 520 | |a In the second video of the series, Carl Gold demonstrates module number 2: Extracting a Customer Dataset. The objective of this milestone is: - Having identified customers who were retained and who churned, look at their metrics to figure out what behaviors lead to retention and which lead to churn. To do this, you must save the customer data into a concise dataset in a CSV file. - Create a quality-assurance summary of the customer dataset and review the results. | ||
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