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Data-Driven SEO with Python

- Solve SEO Challenges with Data Science Using Python
Af: Andreas Voniatis Engelsk Paperback

Data-Driven SEO with Python

- Solve SEO Challenges with Data Science Using Python
Af: Andreas Voniatis Engelsk Paperback
Tjek vores konkurrenters priser

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 media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems.

This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both. 

What You''ll Learn
  • See how data science works in the SEO context
  • Think about SEO challenges in a data driven way
  • Apply the range of data science techniques to solve SEO issues
  • Understand site migration and relaunches are
Who This Book Is For

SEO practitioners, either at the department head level or all the way to the new career starter looking to improve their skills. Readers should have basic knowledge of Python to perform tasks like querying an API with some data exploration and visualization.

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Tjek vores konkurrenters priser
Normalpris
kr 364
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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 media, mobile, changing search engine algorithms, and ever-increasing expectations of users for super web experiences, too much data is generated for an SEO professional to make sense of in spreadsheets. For any modern-day SEO professional to succeed, it is relevant to find an alternate solution, and data science equips SEOs to grasp the issue at hand and solve it. From machine learning to Natural Language Processing (NLP) techniques, Data-Driven SEO with Python provides tried and tested techniques with full explanations for solving both everyday and complex SEO problems.

This book is ideal for SEO professionals who want to take their industry skills to the next level and enhance their business value, whether they are a new starter or highly experienced in SEO, Python programming, or both. 

What You''ll Learn
  • See how data science works in the SEO context
  • Think about SEO challenges in a data driven way
  • Apply the range of data science techniques to solve SEO issues
  • Understand site migration and relaunches are
Who This Book Is For

SEO practitioners, either at the department head level or all the way to the new career starter looking to improve their skills. Readers should have basic knowledge of Python to perform tasks like querying an API with some data exploration and visualization.

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Produktdetaljer
Sprog: Engelsk
Sider: 580
ISBN-13: 9781484291740
Indbinding: Paperback
Udgave:
ISBN-10: 1484291743
Kategori: Machine learning
Udg. Dato: 25 mar 2023
Længde: 0mm
Bredde: 178mm
Højde: 254mm
Forlag: APress
Oplagsdato: 25 mar 2023
Forfatter(e): Andreas Voniatis
Forfatter(e) Andreas Voniatis

Kategori Machine learning

ISBN-13 9781484291740

Sprog Engelsk

Indbinding Paperback

Sider 580

Udgave

Længde 0mm

Bredde 178mm

Højde 254mm

Udg. Dato 25 mar 2023

Oplagsdato 25 mar 2023

Forlag APress