Analytics Engineering with dbt
About this course
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.
75/100
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What you'll learn
- build and test scalable analytics workflows
- design and maintain production-grade analytics pipelines
- optimize transformations for cost and performance
- deliver business insights through BI dashboards
Course objectives
- gain practical skills in SQL and dimensional modeling
- understand the principles of ELT and data transformation
- learn about CI/CD and workflow automation in data projects
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