Business Intelligence and Data Analytics Foundations

About

This course is designed to give the skills and workflows of a modern analytics engineer. You’ll learn how to structure data pipelines, implement testing and documentation, and build scalable transformation layers that empower analytics and business intelligence teams. By the end of the course, you’ll be able to confidently apply analytics engineering best practices to real-world projects. The course has a strong focus on dbt (data build tool)—the industry-standard framework for transforming and modelling data in the warehouse.

Course leader

Katerina Arsh

Target group

The Bachelor graduates and Master/PhD students of:

Computer Science, Business Analytics, Data Science

Course aim

Build a strong foundation in SQL and the modern data stack — no prior engineering experience required.
Learn to build reliable, tested, and well-documented data pipelines with dbt, transforming raw data into clean, reliable, and analytics-ready tables.
Learn how to test, document, and orchestrate data pipelines like a professional analytics engineer.
Complete a capstone project and BI dashboard to showcase your new skills in a real-world scenario.

Fee info