Course- BigQuery, Search Console and Looker Studio

Google Search Console with BigQuery and Looker Studio for advanced, actionable SEO analysis. The course is designed to enable learners to conduct complex analyses and derive insights not feasible with Search Console alone.

Course Title: Advanced SEO Analysis with Google Search Console, BigQuery, and Looker Studio

Course Objectives:

• Understand the basics of Google Search Console, BigQuery, and Looker Studio.
• Learn how to export Search Console data to BigQuery and manipulate it.
• Master the integration of Search Console data in Looker Studio via BigQuery for advanced reporting.
• Gain practical skills for performing actionable SEO analyses that drive data-backed decisions.

Module 1: Introduction to SEO Analysis Tools

• Overview of Google Search Console, BigQuery, and Looker Studio
  • Purpose and capabilities of each tool
  • Key benefits of using them together for SEO
• Data Flow and Integration Setup
  • How data flows between Search Console, BigQuery, and Looker Studio
  • Practical applications of this integration in SEO

Module 2: Setting Up BigQuery and Importing Search Console Data

• Introduction to BigQuery
  • Navigating the BigQuery interface
  • Basics of SQL for non-developers
• Connecting Google Search Console with BigQuery
  • Step-by-step guide to exporting Search Console data to BigQuery
  • Understanding data schema and structure in BigQuery
• Automating Data Exports
  • Scheduling regular data exports from Search Console to BigQuery
  • Automating data refreshes for updated analysis

Module 3: Advanced Data Manipulation and Analysis in BigQuery

• Creating Custom Metrics
  • Calculating custom SEO metrics
  • Advanced filtering: by country, query type, and device
• Using SQL for SEO
  • Practical SQL queries for SEO analysis
  • Custom keyword and URL segmentation for targeted SEO insights
• Long-Term Data Retention for Trend Analysis
  • Strategies for storing and managing historical data
  • Performing year-over-year comparisons and historical trend analysis

Module 4: Integrating BigQuery Data into Looker Studio

• Creating a Looker Studio Dashboard with BigQuery Data
  • Step-by-step setup of Looker Studio with BigQuery as the data source
  • Customizing dimensions and metrics for SEO
• Building Visualizations for Actionable SEO Insights
  • How to create actionable dashboards
  • Visualizations for competitor analysis and keyword gap identification
• Automated Reporting for SEO
  • Setting up scheduled reports and alerts for key SEO metrics
  • Exporting insights for team sharing and decision-making

Module 5: Advanced SEO Analysis Techniques

• Analyzing Data Across Multiple Dimensions
  • Segmenting data by country, device, and content type
  • Identifying trends and anomalies at the keyword or page level
• SEO Experimentation and A/B Testing
  • Setting up and tracking SEO experiments in BigQuery
  • Analyzing the impact of changes
• Predictive Analytics and SEO Forecasting with BigQuery
  • Using BigQuery ML for predictive analysis
  • Developing a predictive model to anticipate keyword performance

Module 6: Practical, Actionable SEO Analysis Case Studies

• Case Study 1: Identifying Quick-Win Keywords
  • Using BigQuery and Looker Studio to identify keywords close to ranking improvements
• Case Study 2: Device-Specific Optimization
  • Segmenting and analyzing device performance to optimize mobile SEO
• Case Study 3: Analyzing Content Gaps and Opportunities
  • Combining Search Console and BigQuery data to find content gaps and potential topics
• Case Study 4: Competitor Benchmarking
  • Integrating third-party data with BigQuery to benchmark against competitors

Module 7: Summary and Best Practices for Scalable SEO Reporting

• Recap of Key Concepts and Tools
  • Highlighting critical skills and takeaways from each module
• Best Practices for Maintaining SEO Data Pipelines
  • Strategies for scaling data analysis as the website grows
  • Tips for maintaining accuracy and efficiency in reporting
• Final Project: Building a Comprehensive SEO Dashboard
  • Guided project to create a personalized, actionable SEO dashboard using BigQuery and Looker Studio
  • Review and feedback on project results and approach

Course Outcome:

By the end of this course, learners will be proficient in creating advanced SEO dashboards and performing actionable analyses in BigQuery and Looker Studio, enabling them to uncover insights and make data-backed decisions that would be difficult with Search Console alone.