"Build BI Pipelines" is an intermediate course designed for data analysts, marketers, and business intelligence professionals aiming to master the flow of data from source to insight. If you're looking to graduate from manual report building and embrace scalable automation, this course is your next step. You'll learn to architect a robust pipeline that funnels data from critical sources like ads, CRM, and web analytics directly into Google's BigQuery.

Build BI Pipelines
Seize the savings! Get 40% off 3 months of Coursera Plus and full access to thousands of courses.

Recommended experience
What you'll learn
Design, automate, and maintain a BI pipeline integrating multiple data sources into a live Looker Studio dashboard for timely, accurate reporting.
Details to know

Add to your LinkedIn profile
March 2026
See how employees at top companies are mastering in-demand skills

There are 3 modules in this course
This module introduces the foundational concepts of a Business Intelligence pipeline. Learners will move from understanding the "why" behind automation to a hands-on experience of building the initial structure. We will explore how companies like Spotify leverage these pipelines and begin connecting data sources into BigQuery, setting the stage for a fully functional and automated system.
What's included
2 videos1 reading2 assignments
In this module, learners shift their focus from building the pipeline to making it reliable and trustworthy. They will explore how automated data refreshes work in real‑world environments and learn how to manually refresh their transformations in the BigQuery Sandbox. They will also implement essential data auditing practices to ensure freshness and accuracy. The module emphasizes that data integrity is not a one‑time setup but a continuous process, essential for maintaining stakeholder trust.
What's included
2 videos1 reading1 assignment
The final module brings everything together. Learners will connect their cleaned and refreshed BigQuery data to Looker Studio to build interactive visualizations. They will also explore how advanced automation works in real‑world environments through an introduction to Cloud Functions, even though automation is demonstrated conceptually in the Sandbox. The module culminates in a final project, where learners build and document a complete BI pipeline from end to end, applying everything they've learned across the course.
What's included
1 video1 reading2 assignments
Instructor

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.

