Data-Driven SEO with Python : Solve SEO Challenges with Data Science Using Python

Data-Driven SEO with Python Solve SEO Challenges with Data Science Using Python

Solve SEO problems using data science. This hands-on book is packed with Python code and data science techniques to help you generate data-driven recommendations and automate the SEO workload. This book is a practical, modern introduction to data science in the SEO context using Python. With social...

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Bibliographic Details
Other Authors: Voniatis, Andreas, author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2023.
Edition:1st ed. 2023.
Subjects:
Web search engines.
Python (Computer program language)
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009729738106719
Table of Contents:
  • Chapter 1: Meeting the Challenges of SEO with Data
  • Chapter 2: Keyword Research
  • Chapter 3: Technical
  • Chapter 4: Content & UX
  • Chapter 5: Authority
  • Chapter 6: Competitors
  • Chapter 7: Experiments
  • Chapter 8: Dashboards
  • Chapter 9: Site Migrations and Relaunches
  • Chapter 10: Google Updates
  • Chapter 11: The Future of SEO
  • Chapter 12: Glossary.

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