Prepare Data for Looker Dashboards and Reports
Earned May 25, 2025 EDT
Introduction to Data Engineering on Google Cloud
Earned May 21, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned May 15, 2025 EDT
Develop Your Google Cloud Network
Earned Jan 16, 2024 EST
Use Machine Learning APIs on Google Cloud
Earned Jan 15, 2024 EST
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Jan 14, 2024 EST
Perform Predictive Data Analysis in BigQuery
Earned Jan 13, 2024 EST
Create and Manage Bigtable Instances
Earned Jan 13, 2024 EST
Create and Manage Cloud Spanner Instances
Earned Jan 11, 2024 EST
Share Data Using Google Data Cloud
Earned Dec 18, 2023 EST
Create ML Models with BigQuery ML
Earned Dec 11, 2023 EST
Derive Insights from BigQuery Data
Earned Dec 9, 2023 EST
Build a Data Warehouse with BigQuery
Earned Dec 6, 2023 EST
Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.
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This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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Earn a skill badge by completing the Develop your Google Cloud Network skill badge course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM roles and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches.
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Earn the advanced skill badge by completing the Use Machine Learning APIs on Google Cloud course, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Translation API, and Cloud Natural Language API.
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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.
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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.
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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.
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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.
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Earn a skill badge by completing the Share Data Using Google Data Cloud skill badge course, where you will gain practical experience with Google Cloud Data Sharing Partners, which have proprietary datasets that customers can use for their analytics use cases. Customers subscribe to this data, query it within their own platform, then augment it with their own datasets and use their visualization tools for their customer facing dashboards.
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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.
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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.
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Complete the intermediate Build a Data Warehouse with BigQuery skill badge course to demonstrate skills in the following: joining data to create new tables, troubleshooting joins, appending data with unions, creating date-partitioned tables, and working with JSON, arrays, and structs in BigQuery.
Prepare Data for Looker Dashboards and Reports
Earned May 25, 2025 EDT
Introduction to Data Engineering on Google Cloud
Earned May 21, 2025 EDT
Preparing for your Professional Data Engineer Journey
Earned May 15, 2025 EDT
Develop Your Google Cloud Network
Earned Jan 16, 2024 EST
Use Machine Learning APIs on Google Cloud
Earned Jan 15, 2024 EST
Create and Manage Cloud SQL for PostgreSQL Instances
Earned Jan 14, 2024 EST
Perform Predictive Data Analysis in BigQuery
Earned Jan 13, 2024 EST
Create and Manage Bigtable Instances
Earned Jan 13, 2024 EST
Create and Manage Cloud Spanner Instances
Earned Jan 11, 2024 EST
Share Data Using Google Data Cloud
Earned Dec 18, 2023 EST
Create ML Models with BigQuery ML
Earned Dec 11, 2023 EST
Derive Insights from BigQuery Data
Earned Dec 9, 2023 EST
Build a Data Warehouse with BigQuery
Earned Dec 6, 2023 EST