Data-Driven Seo with Python: Solve Seo Challenges with Data Science Using Python
暫譯: 使用 Python 的數據驅動 SEO：利用數據科學解決 SEO 挑戰

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: $1,570
  • 貴賓價: 9.5 折 $1,492
  • 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)

解決 SEO 問題的數據科學。本書提供了大量的 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。

本書是針對 SEO 背景下數據科學的實用、現代化入門，使用 Python。隨著社交媒體、移動設備、搜索引擎算法的變化，以及用戶對超級網絡體驗的期望不斷提高，生成的數據量已經超過了 SEO 專業人士在電子表格中能夠理解的範圍。對於任何現代 SEO 專業人士來說，找到替代解決方案是至關重要的，而數據科學使 SEO 專業人士能夠掌握當前問題並解決它。從機器學習到自然語言處理 (NLP) 技術，《Data-Driven SEO with Python》提供了經過驗證的技術，並對解決日常和複雜的 SEO 問題進行了詳細解釋。

本書非常適合希望提升行業技能並增強商業價值的 SEO 專業人士，無論他們是新手還是對 SEO、Python 編程或兩者都有豐富經驗的人。

您將學到的內容：
- 了解數據科學在 SEO 背景下的運作方式
- 以數據驅動的方式思考 SEO 挑戰
- 應用各種數據科學技術來解決 SEO 問題
- 理解網站遷移和重新啟動的概念

本書適合對象：
SEO 實踐者，無論是部門負責人還是希望提升技能的新入行者。讀者應具備基本的 Python 知識，以執行如查詢 API 及進行數據探索和可視化等任務。

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)

安德烈亞斯·沃尼亞提斯是Artios的創辦人，也是擁有超過20年與廣告代理商（PHD、Havas、Universal McCann、Mindshare和iProspect）及品牌（Amazon EU、Lyst、Trivago、GameSys）合作經驗的SEO顧問。安德烈亞斯於2015年創立Artios，旨在將先進的數學方法和雲端AI/機器學習應用於SEO。擁有SEO背景、數據科學和雲端工程專業知識的安德烈亞斯，幫助公司通過數據科學和自動化獲得競爭優勢。他的工作曾在全球多個出版物上刊登，包括《獨立報》、《公關週刊》、《搜索引擎觀察》、《搜索引擎期刊》和《搜索引擎土地》。

安德烈亞斯是一位合格的會計師，擁有利茲大學的經濟學學位，並在SEO科學方面專注了十多年。安德烈亞斯幫助初創企業成長，並以數據驅動的SEO培訓企業SEO團隊。

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