Data Science for Marketing Analytics

Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of the population based on the segments.(Limited-time offer)

Table of Contents

• Data Preparation and Cleaning
• Data Exploration and Visualization
• Unsupervised Learning: Customer Segmentation
• Choosing the Best Segmentation Approach
• Predicting Customer Revenue Using Linear Regression
• Other Regression Techniques and Tools for Evaluation
• Supervised Learning: Predicting Customer Churn
• Fine-Tuning Classification Algorithms
• Modeling Customer Choice

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