Analytics Engineering with dbt

The Analytics Engineering with dbt and the Modern Data Stack Specialization equips learners with practical, industry-ready skills to transform raw data into trusted, analytics-ready datasets. Learners gain hands-on experience with SQL, dimensional modeling, ELT pipelines, and dbt Core to build, test, and document scalable analytics workflows. Across three courses, learners progress from modern data stack fundamentals and data modeling to advanced dbt development, testing, CI/CD, and workflow automation. The specialization emphasizes best practices in data quality, performance optimization, observability, and collaboration, while reinforcing real-world use cases such as KPI modeling, incremental processing, and pipeline reliability. By the end of the specialization, learners will be able to design and maintain production-grade analytics pipelines, optimize transformations for cost and performance, and deliver business insights through BI dashboards. The program prepares learners to confidently contribute as Analytics Engineers or Analytics-focused Data Professionals in modern data teams

• Design analytics-ready data models using SQL, dimensional modeling, and modern data warehousing principles
• Build, test, and document scalable data transformations using dbt and ELT workflows
• Ensure data quality, reliability, and transparency through testing, documentation, and lineage
• Optimize analytics pipelines for performance, reliability, and consistent insight delivery

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work