Solve SEO challenges with data science using Python. This hands-on book is filled with practical Python code and modern data science techniques, enabling you to generate data-driven recommendations and automate SEO tasks.
This resource serves as a practical introduction to applying data science in SEO, addressing the complexities brought by social media, mobile, evolving search engine algorithms, and the increasing demand for exceptional web experiences. With the overwhelming volume of data, traditional spreadsheet analysis is no longer sufficient for SEO professionals. Data science offers a powerful alternative, equipping SEOs to identify and solve issues efficiently.
You’ll learn how to leverage machine learning and natural language processing (NLP) to tackle both everyday and complex SEO problems. The book provides step-by-step explanations and proven techniques for a wide range of SEO scenarios.
What You’ll Learn:
• Understand how data science applies to SEO
• Approach SEO challenges with a data-driven mindset
• Utilize various data science methods to resolve SEO issues
• Grasp key concepts for site migrations and relaunches
Who This Book Is For:
SEO practitioners at any level—from department heads to newcomers—who want to advance their skills. A basic understanding of Python, such as querying APIs and performing data exploration or visualization, is recommended
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