DAY 1

Getting Started with Data Science and LLMs for Modern SEO

SEO runs on data. This session shows how to level up your day-to-day SEO with a practical mix of Python and LLMs—no prior coding required. We’ll start from scratch and cover the essentials of data science for search: basic programming, core statistics, and the SEO domain knowledge you already have. Then we’ll add LLMs to the stack to make those skills more approachable and powerful: generate working code from clear prompts, run prompts in bulk with templates, and automate repetitive tasks so you can focus on analysis and decisions. You’ll learn simple, repeatable workflows for common SEO jobs (collecting and cleaning data, exploring and visualizing it, and turning insights into action). Expect concrete examples you can adapt immediately—plus a lightweight roadmap to keep advancing after the conference. If you want to do more, faster, and with greater confidence, this is your playbook.

Topics

SEO
Data Analysis

Language

English
Interpretation into Japanese

Giveaways

Slides

Speaker

Elias Dabbas

Creator & Maintainer of Advertools

Elias works at the intersection of search marketing, data science and software development. He is the creator and maintainer of advertools, a Python package and command-line tool for digital marketing people, which has been downloaded more than 4 million times. Among other things, advertools provides an SEO crawler, tools for creating search ads, log file analysis, XML sitemaps, robots tools, and more. He is also the author of the book Interactive Dashboards and Data Apps with Plotly and Dash.

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