What You Need to Know Before
You Start

Starts 29 June 2025 21:23

Ends 29 June 2025

00 Days
00 Hours
00 Minutes
00 Seconds
course image

The Path to Insights: Data Models and Pipelines

Title: The Path to Insights: Data Models and Pipelines Description: Dive into the second installment of the Google Business Intelligence Certificate, exclusively on Coursera. This course focuses on the intricacies of data modeling and database design, alongside an in-depth exploration of Extract, Transform, Load (ETL) processes. These processes pla.
via Coursera

2041 Courses


Not Specified

Optional upgrade avallable

All Levels

Progress at your own speed

Free

Optional upgrade avallable

Overview

Title:

The Path to Insights:

Data Models and Pipelines

Description:

Dive into the second installment of the Google Business Intelligence Certificate, exclusively on Coursera. This course focuses on the intricacies of data modeling and database design, alongside an in-depth exploration of Extract, Transform, Load (ETL) processes.

These processes play a pivotal role in extracting data from source systems, transforming it for analytical readiness, and ultimately supporting business processes and objectives.

Under the guidance of Google employees currently immersed in Business Intelligence (BI), participants will engage in practical activities that mirror real-world job scenarios, gain insights through real-life examples, and develop robust BI skills suited for a career in this dynamic field.

Completing all three courses in this series equips learners with the qualifications to pursue careers in business intelligence, building upon foundational analytical principles, skills, and tools introduced in the Google Data Analytics Certificate. By the end of this immersive course, participants will have acquired the ability to:

  • Determine appropriate data models for various business requirements.
  • Describe the nuances between creating and interacting with data models.
  • Design data models tailored to specific analytical questions.
  • Explain each component of the ETL process and the tools involved.
  • Understand extraction methodologies and tools across different data storage systems.
  • Develop an ETL process that aligns with both organizational and stakeholder needs.
  • Design automated data pipelines to enhance BI processes.

Provider:

Coursera

Categories:

Big Data Courses, Business Intelligence Courses, Google Cloud Platform (GCP) Courses


Taught by

Google Career Certificates


Subjects