Description
The Complete dbt Bootcamp Course — Zero to Hero (4+ Hours)
Complete dbt Bootcamp Course — jump from beginner to confident practitioner with 4+ hours of practical, hands-on training designed for analytics engineers, data engineers, and BI professionals. Moreover, this course emphasizes best practices so you build reliable, testable data models quickly.
Course Overview
This project-focused course guides you through dbt (Data Build Tool) fundamentals and advanced techniques. First, you will install and configure dbt; next, you will model, test, document, and deploy production-ready transformations. Additionally, the lessons include real-world examples that mirror modern analytics team workflows. As a result, you will finish with the competence to integrate dbt into your data stack.
What You’ll Learn
- dbt fundamentals: installation, project layout, and configuration.
- SQL modeling patterns and modular model design for maintainability.
- Testing strategies: schema tests, data tests, and custom tests.
- Documentation and lineage using dbt docs and sources.
- Macros and Jinja templating to reduce duplication and add logic.
- CI/CD basics: automated runs, scheduling, and deployment pipelines.
- Performance optimization and incremental models for large datasets.
- Version control workflows with Git and collaborative practices.
Requirements
To get the most from this course, you should:
- Have basic SQL knowledge (SELECT, JOINs, GROUP BY).
- Be comfortable using the command line for simple tasks.
- Optionally, have familiarity with a data warehouse (Snowflake, BigQuery, Redshift, or Postgres).
- Bring curiosity — you’ll practice by building real dbt models step-by-step.
Course Materials & Format
The course includes video lessons, downloadable code samples, and a full project repository for hands-on practice. Each module contains step-by-step instructions and exercises; additionally, you will receive suggested study paths and troubleshooting tips. Therefore, whether you study quickly or at a slower pace, you can follow along and complete the sample project.
Learning Outcomes
By the end of this course, you will be able to:
- Design modular, testable dbt models.
- Implement and run schema and data tests to ensure data quality.
- Document and publish model lineage with dbt docs.
- Automate runs and integrate dbt into CI/CD pipelines.
- Apply macros to streamline complex SQL patterns.
About the Publication
This course was authored by experienced analytics engineers with years of production dbt experience. In addition, the materials reflect industry best practices and up-to-date workflows. Finally, the course includes maintenance tips so you can scale dbt safely in team environments.
Author Bio: An analytics engineer and instructor who has implemented dbt for multiple organizations, created production pipelines, and trained cross-functional teams. They focus on practical, reproducible solutions that help businesses trust their data.
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