Dataform Zero To Hero: Master Enterprise-Level Analytics
 

Build scalable, modular BigQuery pipelines with Dataform. Git-integrated, testable, production-ready workflows
What you'll learn
Build modular, enterprise-level data pipelines using Dataform and BigQuery
Design and manage scalable analytics workflows using version control and GitHub
Transform raw retail datasets into clean, report-ready tables and KPIs
Collaborate effectively on analytics projects using best practices from real-world use
Requirements
Basic SQL and Google Cloud Platform (GCP) familiarity is helpful, but not required. If you've used BigQuery or written SQL before, you're ready to dive in.
Description
This course teaches you how to build clean, modular, and scalable analytics pipelines using Dataform on BigQuery. It's the same workflow used by modern analytics teams at scale.You'll start by learning what modular analytics actually means and why it matters. Then, you'll build a fully version-controlled pipeline using SQLX, GitHub, and BigQuery - from source to reporting layer.We'll guide you through modeling patterns, directory structures, tagging strategies, assertions, and release scheduling. You'll write models using ref(), build a full funnel report, validate data quality, and trigger scheduled runs from the main branch.You'll also learn how to:Connect GitHub to Dataform and structure branches for collaborationUse assertions for row count, primary key, and null checksSet up prod_ prefixes for your production tablesAutomatically refresh outputs on a release scheduleConnect BigQuery to Power BI and optionally to VS Code notebooks for local developmentBy the end, you'll have a complete analytics stack that's clean, testable, repeatable - and built to scale.If you're a data analyst, analytics engineer, or job seeker preparing for a modern data role, this course will level up your workflow from static SQL to real production pipelines and modernize your entire approach to analytics.
Who this course is for
Data analysts who want to move beyond ad hoc SQL and start working with modular, production-ready code
Analytics engineers and BI developers looking to adopt version control, reusable models, and scheduled pipelines
Job seekers and career switchers preparing for roles in data or analytics engineering
Team leads or managers who want to standardize their analytics workflows using modern best practices
Whether you're already in the field or leveling up for your next role, this course gives you the tools, patterns, and workflows used by high-performing enterprise teams.
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