Certification Path

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Cloud

Google Cloud Associate Data Practitioner (Pluralsight)

2 Courses

1 Hours

Practice exam

This learning path is actively in production. More content will be added to this page as it publishes and becomes available in the library. The planned content for this path includes the following: - Google Cloud Associate Data Practitioner Certification Essentials (video course) - Data Preparation and Ingestion (video course) - Data Analysis and Presentation (video course) - Data Pipeline Orchestration (video course) - Data Management (video course)

This path will help you build proficiency in data processing, analysis, and management using Google Cloud, equipping you with the skills to handle, transform, and secure data efficiently. Gain hands-on experience with Google Cloud data services to develop practical expertise in data-driven decision-making.

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Content in this path

Path Courses

This path will help you build proficiency in data processing, analysis, and management using Google Cloud, equipping you with the skills to handle, transform, and secure data efficiently. Gain hands-on experience with Google Cloud data services to develop practical expertise in data-driven decision-making.

Course

Google Cloud Associate Data Practitioner Certification Essentials

by Russ Thomas
25m
Jul 15, 2025

Course

Google Cloud Associate Data Practitioner: Data Preparation and Ingestion

by Russ Thomas
59m
Jul 15, 2025

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Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.

How to prepare, process, and store structured and unstructured data using Google Cloud storage solutions.
How to analyze, visualize, and derive insights from data using BigQuery and Looker.
How to design and implement basic data pipelines for automation, monitoring, and governance.

Prerequisites

Learners should have a basic understanding of cloud computing concepts and prior exposure to Google Cloud basic services. Familiarity with SQL, fundamental programming concepts (such as Python or SQL scripting), and an awareness of cloud-based storage solutions will enhance the learning experience.

Google Cloud Data Services
Data Processing and Analysis
Data Pipeline Orchestration

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Learn with the best

Russ Thomas

Currently an IT leader in Denver Colorado's FinTech sector Russ has focused on database engineering, modelling, administration, and BI since 1997. Russ is a passionate trainer and community volunteer presenting regularly at tech events and local user groups around the US. In 2019 much of Russ' focus turned to cloud based data lakes specifically on Google BigQuery, and the emerging world of large language models.