Resources I found helpful, with links to related posts and guides.
A guided path through marketing measurement, reporting automation, tracking, and AI resources.
A hub for marketing analyst career resources, portfolio projects, interview prep, and skill-building paths.
A practical series for marketers who want stronger analytics, reporting, and measurement skills.
A roadmap for learning marketing analytics skills, building portfolio projects, and preparing for analyst work.
A practical naming system for cleaner campaign tracking and reporting.
A pre-launch checklist for campaign setup, URLs, tracking, landing pages, and reporting readiness.
A dashboard-specific QA checklist for filters, metrics, chart logic, and permissions.
A checklist for improving Sigma workbook speed, usability, and maintainability.
A practical guide to choosing the right tracking, storage, transformation, and reporting setup for small teams.
Articles about Sigma Computing, a cloud-native Business Intelligence tool built on top of your data warehouse.
A practical checklist for recurring marketing dashboards, reporting automation, and stakeholder-facing reports.
Free courses from dbt that cover data engineering, transformation, and analytics engineering workflows.
Free tutorials from Snowflake for learning data warehousing, pipelines, and platform features.
A short post explaining core AI concepts with a 5-minute YouTube video.
Open-source interactive textbooks for Python and other programming languages.
Course notes on correlated data methods — useful for statistical modeling with repeated measures or grouped data.
Hands-on tutorials and exercises to practice machine learning and data science skills.