May 2024
Beginner to intermediate
452 pages
11h 32m
English
Overview
This comprehensive guide teaches you how to use Python to analyze marketing data effectively. You'll explore practical techniques for handling datasets, visualizing insights, and employing statistical models tailored for marketing purposes. By providing robust data-driven solutions, this book equips you to optimize marketing strategies and measure their success confidently.
What this Book will help me do
- Learn to implement statistical models and methodologies to analyze various marketing scenarios.
- Understand how to use Python libraries like DoWhy, Pandas, and Prophet for marketing data analytics.
- Acquire skills in conducting causal inference and experimentation for enhanced decision-making.
- Master the creation and interpretation of key performance indicators (KPIs) from large datasets.
- Discover how to derive actionable insights through customer lifetime analysis and segmentation.
Author(s)
Guilherme Diaz-Bérrio is an experienced data professional specializing in marketing analytics. His expertise includes building data models using cutting-edge tools in Python and deriving actionable insights from complex datasets. Guilherme's writing reflects a practical and approachable narrative, aiming to democratize powerful data techniques for business and marketing applications.
Who is it for?
This book is ideal for data analysts and marketing data scientists seeking to strengthen their marketing analytics skills. Readers should have a foundational understanding of Python, data analysis, and statistical concepts. The content caters to professionals aiming to draw meaningful insights and implement advanced analytics techniques for marketing purposes.
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