Learn how to create a complete dbt project by exploring essential features such as snapshots, tests, and packages. This lab focuses on building a slowly changing dimension to track customer data changes over time, ensuring accurate historical analysis. Ideal for analytics engineers, this lesson provides practical insights into using dbt for data transformation and quality assurance, enhancing your data modeling skills.