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

Voniatis, Andreas

ISBN 10: 1484291743 / ISBN 13: 9781484291740

Published by Apress, 2023

Special order direct from the distributor. Seller Inventory # ING9781484291740

Synopsis:

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...

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About the Author:

Andreas Voniatis is the founder of Artios (https://artios.io/) and a SEO consultant with over 20 year’s experience working with ad agencies (PHD, Havas, Universal Mcann, Mindshare and iProspect), and brands (Amazon EU, Lyst, Trivago, GameSys).  Andreas founded Artios in 2015  – to apply an advanced mathematical approach and cloud AI/Machine Learning to SEO. With a background in SEO, expertise in data science and cloud engineering, Andreas has helped companies gain an edge through data science and automation. His work has been featured in publications worldwide including The Independent, PR Week, Search Engine Watch, Search Engine Journal and Search Engine Land.

Andreas is a qualified accountant, holds a degree in Economics from Leeds University and has specialized in SEO science for over a decade. Andreas helps grow startups and trains enterprise SEO teams with data driven SEO. 

Bibliographic Details

Title: Data-Driven SEO with Python: Solve SEO ...
Publisher: Apress
Publication Date: 2023
Binding: paperback
Condition: New
Edition: 1st ed.