Build BI Pipelines

This course is part of Brand Equity, Analytics & Marketing Intelligence Specialization

Instructor: LearningMate

Access provided by Inter IKEA

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

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.

Skills you'll gain

Tools you'll learn

Dashboard

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments¹

AI Graded see disclaimer

Taught in English

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Build your subject-matter expertise

This course is part of the Brand Equity, Analytics & Marketing Intelligence Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

"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.

Leveraging the provided prerequisites of basic SQL and data concepts, you will develop hands-on skills in writing transformation scripts, automating data refreshes using Cloud Functions, and building a live, interactive dashboard in Looker Studio. More importantly, you will learn to implement rigorous data-auditing processes to ensure the data is not just present, but fresh and accurate. By the end of this course, you will have built a complete, automated BI pipeline, transforming you from a data user into a data enabler who provides reliable, timely insights that stakeholders can trust.

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.