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 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.
