Master Analytics For SEO Course – Marco Gioardano

Master Analytics For SEO Course by Marco Gioardano is a technical masterclass with more than 30 hours of video instruction. It uses Google Search Console, GA4, Python, SQL and BigQuery to explore website auditing, analytics and organic search optimization.

The course combines demonstrations, data and code with frameworks for examining individual sites and large-scale traffic. Materials include videos, Docs, PDFs, workbooks, scripts and notebooks.

SEO analytics skills you’ll build

• Master Google Search Console and GA4 for enhanced analytics.
• Utilize Python and SQL for advanced data manipulation.
• Conduct comprehensive website audits using an 8-step framework.
• Create impactful reports with effective visualizations.
• Integrate multiple data sources for deeper insights.
• Optimize organic growth with real-world applications and strategies.

What the course includes

Marco Gioardano teaches through video tutorials and hands-on demonstrations, supported by code notebooks, interactive workbooks, scripts and frameworks. Data and notebooks are included for working through the tools and techniques.

Getting started with analytics

The first module introduces analytics fundamentals, working rules and best practices. It covers the required tools and their installation, then provides a Python 101 crash course, virtual environments and project management.

It also establishes the foundations for using Google Search Console and GA4, including Search Console setup and GA4 fundamentals.

Website auditing with the eight-step framework

The audit module starts with extracting and loading data through the Google Search Console and GA4 APIs. It then moves through data inspection, profiling, quality checks, cleaning and interpretation of raw data.

Lessons show how to group and aggregate data, reshape it for analysis and visualization, and classify leading pages and queries. The framework also examines content decay, traffic, internal linking and automated detection of cannibalization, before bringing in other data sources and classifications.

Big websites, BigQuery and SQL

For larger sites, the course covers tools and practices for handling substantial datasets. It introduces BigQuery and SQL, from basic concepts through advanced SQL techniques and optimization.

The module also uses Polars and DuckDB with datasets of 20GB or more. Further lessons cover GA4 in detail, advanced modeling, GA4Dataform as a modeling shortcut, and click-through rate analysis and optimization.

Creating effective reports

The reporting module explains how to build plots and visualizations and apply data visualization rules to communicate findings. It also covers Looker Studio for Google Analytics, reporting operations and reporting best practices.

Additional SEO analytics use cases

The final module extends the techniques to SERP analysis, competitive tracking, custom integrations and advanced analytics.

Who the course is for

The material is intended for SEO professionals developing technical and data skills, agencies producing data-driven client insights, and analysts moving into SEO and organic growth. It also suits technical marketers working with Python, SQL and BigQuery, as well as in-house teams building their own SEO analytics systems.

Frequently asked questions

What does Master Analytics For SEO Course cover?

The course covers analytics setup, an eight-step website audit framework, large datasets, SQL, GA4 modeling, reporting and additional SEO use cases.

Do I need coding experience?

No prior coding experience is required. The course introduces Python and covers basic SQL concepts.

Can I work with large datasets without BigQuery?

The course also teaches Polars and DuckDB for working with datasets of 20GB or more.

What materials come with the course?

Materials include more than 30 hours of video tutorials, workbooks, scripts, frameworks and code notebooks. Each module includes Python scripts, SQL queries and Jupyter notebooks.

Who is the course suited to?

It is designed for SEO professionals, analysts, technical marketers, agencies and in-house teams working with SEO data.