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Data Pipelines and SQL for Product Analytics

By Coursera on Coursera · Data Science

Price

Free

About This Course

Learn to build complete data pipelines that transform raw event data into actionable insights using SQL and Pandas. You'll gain the skills to design efficient star schemas, implement Type-2 slowly changing dimensions for historical tracking, and optimize database performance for analytical workloads. This course uniquely combines hands-on experience with massive datasets (10+ million rows) and practical exposure to multiple SQL dialects including Presto and Spark. You'll benefit professionally by developing the core competencies that product analytics teams depend on daily - from data transformation and pipeline architecture to performance optimization. By completion, you'll confidently tackle real-world data engineering challenges and contribute immediately to business intelligence initiatives in product analytics roles.

Instructor

Professionals from the Industry

Frequently Asked Questions

How much does Data Pipelines and SQL for Product Analytics cost?

Visit the Data Pipelines and SQL for Product Analytics course page for current pricing and available discounts.

Who teaches Data Pipelines and SQL for Product Analytics?

Data Pipelines and SQL for Product Analytics is taught by Professionals from the Industry, Coursera.

What skill level is Data Pipelines and SQL for Product Analytics for?

This course is designed for all levels learners.