Preface
About the authors
Contact us
0. Introduction
1. Exploring Data
2. Visualizing Data
3. Consumer Segmentation
4. Product Portfolio, Survey Data & Metric-Based Conjoint Modeling
5. Customer Lifetime Value, Brand Metrics, and Email Campaign Metrics
6. Experiment Design, A/B Testing, and Statistical Distributions
7. Understanding Classification Models and Assessing their Performance
8. Logistic Regression
9. From Single Trees to Random Forests
10. Pricing Analytics
11. Forecasting
12. Extracting Data from the Web
13. Text Analysis
14. Recommender Systems
15. Data Analytics in the Cloud
16. Advanced Modeling Techniques – Interaction terms
- 16.1 Variable Transformations
- 16.2 Polynomial Regression
17. Entering the Field of Marketing Analytics
18. Conclusions
19. Datasets
20. Dataset descriptions
21. Videos

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Preface
About the authors
Contact us
0. Introduction
1. Exploring Data
2. Visualizing Data
3. Consumer Segmentation
4. Product Portfolio, Survey Data & Metric-Based Conjoint Modeling
5. Customer Lifetime Value, Brand Metrics, and Email Campaign Metrics
6. Experiment Design, A/B Testing, and Statistical Distributions
7. Understanding Classification Models and Assessing their Performance
8. Logistic Regression
9. From Single Trees to Random Forests
10. Pricing Analytics
11. Forecasting
12. Extracting Data from the Web
13. Text Analysis
14. Recommender Systems
15. Data Analytics in the Cloud
16. Advanced Modeling Techniques – Interaction terms
- 16.1 Variable Transformations
- 16.2 Polynomial Regression
17. Entering the Field of Marketing Analytics
18. Conclusions
19. Datasets
20. Dataset descriptions
21. Videos

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21. Videos

Our Youtube videos are designed to complement our book. New content will be published every week. If there’s a video you’d like us to make, send us an email.

In the mean time, please code along with us by downloading the datasets from Chapter 19.

Happy coding,

Lobster Land Management

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