Data Analytics for Marketing
portes grátis
Data Analytics for Marketing
A practical guide to analyzing marketing data using Python
Diaz-Berrio, Guilherme
Packt Publishing Limited
05/2024
452
Mole
9781803241609
15 a 20 dias
Descrição não disponível.
Table of Contents
What is Marketing Analytics?
Extracting and Exploring Data with Singer and pandas
Design Principles and Presenting Results with Streamlit
Econometrics and Causal Inference with Statsmodels and PyMC
Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast
Anomaly Detection with StatsForecast and PyMC
Customer Insights - Segmentation and RFM
Customer Lifetime Value with PyMC Marketing
Customer Survey Analysis
Conjoint Analysis with pandas and Statsmodels
Multi-Touch Digital Attribution
Media Mix Modeling with PyMC Marketing
Running Experiments with PyMC
What is Marketing Analytics?
Extracting and Exploring Data with Singer and pandas
Design Principles and Presenting Results with Streamlit
Econometrics and Causal Inference with Statsmodels and PyMC
Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast
Anomaly Detection with StatsForecast and PyMC
Customer Insights - Segmentation and RFM
Customer Lifetime Value with PyMC Marketing
Customer Survey Analysis
Conjoint Analysis with pandas and Statsmodels
Multi-Touch Digital Attribution
Media Mix Modeling with PyMC Marketing
Running Experiments with PyMC
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Data Analytics; Marketing analytics; Marketing; Data for marketing
Table of Contents
What is Marketing Analytics?
Extracting and Exploring Data with Singer and pandas
Design Principles and Presenting Results with Streamlit
Econometrics and Causal Inference with Statsmodels and PyMC
Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast
Anomaly Detection with StatsForecast and PyMC
Customer Insights - Segmentation and RFM
Customer Lifetime Value with PyMC Marketing
Customer Survey Analysis
Conjoint Analysis with pandas and Statsmodels
Multi-Touch Digital Attribution
Media Mix Modeling with PyMC Marketing
Running Experiments with PyMC
What is Marketing Analytics?
Extracting and Exploring Data with Singer and pandas
Design Principles and Presenting Results with Streamlit
Econometrics and Causal Inference with Statsmodels and PyMC
Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast
Anomaly Detection with StatsForecast and PyMC
Customer Insights - Segmentation and RFM
Customer Lifetime Value with PyMC Marketing
Customer Survey Analysis
Conjoint Analysis with pandas and Statsmodels
Multi-Touch Digital Attribution
Media Mix Modeling with PyMC Marketing
Running Experiments with PyMC
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
