Data Analytics for Marketing

Table of Contents

1. What is Marketing Analytics?
2. Extracting and Exploring Data with Singer and pandas
3. Design Principles and Presenting Results with Streamlit
4. Econometrics and Causal Inference with Statsmodels and PyMC
5. Forecasting with Prophet, ARIMA, and Other Models Using StatsForecast
6. Anomaly Detection with StatsForecast and PyMC
7. Customer Insights – Segmentation and RFM
8. Customer Lifetime Value with PyMC Marketing
9. Customer Survey Analysis
10. Conjoint Analysis with pandas and Statsmodels
11. Multi-Touch Digital Attribution
12. Media Mix Modeling with PyMC Marketing
13. Running Experiments with PyMC