The Path to Insights: Data Models and Pipelines

via Coursera

Coursera

1276 Courses


course image

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

Syllabus


Taught by

Google Career Certificates


Tags

united states

provider Coursera

Coursera

1276 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 24 hours
sessions On-Demand