Description: Data-Driven SEO with Python by Andreas Voniatis 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 Youll LearnSee how data science works in the SEO contextThink about SEO challenges in a data driven wayApply the range of data science techniques to solve SEO issuesUnderstand site migration and relaunches areWho This Book Is ForSEO 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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. You will: 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 Author Biography Andreas Voniatis is the founder of Artios /) and a SEO consultant with over 20 years 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. 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. Feature Covers the data science techniques behind data driven SEO Covers Machine learning and NLP techniques to solve SEO issues Shows how to scale and automate SEO across SEO workstreams Details ISBN1484291743 Author Andreas Voniatis Short Title Data Driven SEO with Python Language English Year 2023 ISBN-10 1484291743 ISBN-13 9781484291740 Format Paperback Subtitle Solve SEO Challenges with Data Science Using Python Publisher APress Edition 1st Imprint APress Place of Publication Berkley Country of Publication United States Pages 580 Illustrations 102 Illustrations, color; 308 Illustrations, black and white; XXVI, 580 p. 410 illus., 102 illus. in color. Publication Date 2023-03-25 AU Release Date 2023-03-25 NZ Release Date 2023-03-25 US Release Date 2023-03-25 UK Release Date 2023-03-25 Edition Description 1st ed. DEWEY 005.758 Audience Professional & Vocational Alternative 9781484299159 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:141646158;
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Book Title: Data-Driven SEO with Python
