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

Voniatis, Andreas

Data-Driven Seo with Python: Solve Seo Challenges with Data Science Using Python
  • 出版商: Apress
  • 出版日期: 2023-03-25
  • 售價: $1,560
  • 貴賓價: 9.5 折 $1,482
  • 語言: 英文
  • 頁數: 580
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1484291743
  • ISBN-13: 9781484291740
  • 相關分類: Python、程式語言、搜尋引擎優化 SEO、Data Science

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商品描述

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.

商品描述(中文翻譯)

使用數據科學解決SEO問題。這本實用的書籍充滿了Python代碼和數據科學技術，幫助您生成數據驅動的建議並自動化SEO工作負載。本書是一本實用的、現代化的介紹數據科學在SEO背景下應用Python的書籍。隨著社交媒體、移動設備、搜索引擎算法的變化以及用戶對超級網頁體驗的期望不斷增加，生成的數據對於SEO專業人員來說太多，無法在電子表格中理解。對於現代的SEO專業人員要取得成功，找到替代解決方案是相關的，而數據科學使SEO專業人員能夠理解並解決問題。從機器學習到自然語言處理（NLP）技術，《使用Python的數據驅動SEO》提供了經過驗證的技術和詳細解釋，用於解決日常和複雜的SEO問題。

本書適合想要將其行業技能提升到更高水平並增加業務價值的SEO專業人員，無論是新手還是在SEO、Python編程或兩者方面經驗豐富的人。讀者應該具備基本的Python知識，以執行像查詢API、數據探索和可視化等任務。您將學到什麼：了解數據科學在SEO背景下的應用方式；以數據驅動的方式思考SEO挑戰；應用各種數據科學技術解決SEO問題；了解網站遷移和重新啟動的含義。本書適合SEO從業人員，無論是部門主管還是剛入行的新人，都希望提高自己的技能。

作者簡介

Andreas Voniatis is the founder of Artios 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 specialised in SEO science for over a decade. Andreas helps grow startups and trains enterprise SEO teams with data driven SEO.

作者簡介(中文翻譯)

Andreas Voniatis是Artios的創始人，也是一位擁有超過20年經驗的SEO顧問，曾與廣告代理商（PHD、Havas、Universal Mcann、Mindshare和iProspect）以及品牌（Amazon EU、Lyst、Trivago、GameSys）合作。Andreas於2015年創立了Artios，以先進的數學方法和雲端AI/機器學習應用於SEO。憑藉在SEO領域的背景、數據科學和雲端工程方面的專業知識，Andreas幫助企業通過數據科學和自動化獲得競爭優勢。他的工作曾在全球各地的出版物中亮相，包括《獨立報》、《公關周刊》、《搜索引擎觀察》、《搜索引擎期刊》和《搜索引擎地》。

Andreas是一位合格的會計師，擁有利茲大學經濟學學位，並在SEO科學領域專攻了十多年。Andreas通過數據驅動的SEO幫助初創企業成長，並培訓企業SEO團隊。

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