Analytics Engineering Workflows with dbt
Completed by Sudharsan Kameshwaran
April 20, 2026
9 hours (approximately)
Sudharsan Kameshwaran's account is verified. Coursera certifies their successful completion of Analytics Engineering Workflows with dbt
What you will learn
Create reusable SQL logic with Jinja and macros to simplify and standardize complex transformations.
Design efficient incremental models and build snapshots that track historical changes for reliable analytics.
Implement schema and custom tests, add rich documentation, and use dbt Docs to strengthen data quality and clarity.
Work with Git based workflows, pull requests, and structured reviews to support team driven development.
Skills you will gain
- Category: Data Validation
- Category: Testability
- Category: Code Reusability
- Category: CI/CD
- Category: Scalability
- Category: Version Control
- Category: Dependency Analysis
- Category: YAML
- Category: Data Integrity
- Category: Data Quality
- Category: Maintainability
- Category: Data Pipelines
