This self-paced course is intended to give practical hands-on examples of data analytics for SEO. It includes a linear progression to open-source scripts and videos covering how to run them in easy-to-run notebooks.
Course Syllabus
Chapter 1: Introduction to Data Analytics for SEO
Chapter 2: Getting started with the code repository
Chapter 3: Running the first code example: Scraping top Google SERPs and parsing each page
Chapter 4: The importance of APIs: Google Search analysis using SerpAPI and DataforSEO API examples
Chapter 5: Example of AI for Generative Text via OpenAI API: Connecting to the API and automatic bulk article outline writer
Chapter 6: Analysis of On-page text: Scraping Data for Programmatic SEO, Entity extraction, Internal Link Extraction, Schema analysis, and extracting headers from SERP queries
Chapter 7: Analysis of Domains: Domain analysis via DataforSEO API
Chapter 8: Retrieval and Analysis of Google Search Console (GSC) data
Chapter 9: Audience and Persona Analysis
Chapter 10: Keyword research using Google Suggest
Chapter 11: Keyword Clustering using SERPs and NLP
Chapter 12: The art of Data Analytics
Intended Audience
This content is for individuals who want to watch and learn from a practitioner of data analytics and see practical examples while independently learning Python, R, or another scripting language. It is designed for those who want to apply data analytics to SEO-related problems.
Disclaimers
This is not a place to learn to code from scratch.
Everything in this course will likely be available for free somewhere online.
All contents are delivered in English with transcripts and subtitles.
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Product Details: https://tinyurl.com/5bs5588h
File size: 187MB
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