Google Cloud
Google Cloud Data Analytics Professional Certificate
Google Cloud

Google Cloud Data Analytics Professional Certificate

Launch your career in Cloud Data Analytics. Build in-demand skills and gain credentials to go from beginner to job-ready in 10 weeks or less. No degree or prior experience required.

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Earn a career credential that demonstrates your expertise
4.5

(205 reviews)

Beginner level
No prior experience required
Flexible schedule
2 months at 10 hours a week
Learn at your own pace
Prepare for a degree
Earn a career credential that demonstrates your expertise
4.5

(205 reviews)

Beginner level
No prior experience required
Flexible schedule
2 months at 10 hours a week
Learn at your own pace
Prepare for a degree

What you'll learn

  • Explore the benefits of data analytics in cloud computing

  • Describe key aspects of managing and storing data in Google Cloud.

  • Apply transformation strategies to data sets to solve business needs.

  • Develop skills in the five key stages of visualizing data in the cloud.

Details to know

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Taught in English
81 practice exercises

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Professional Certificate - 5 course series

What you'll learn

  • Define data analytics as it applies to cloud computing.

  • Explain the benefits of cloud computing.

  • Identify common tools used by entry-level cloud data analysts.

  • Describe key roles that interact with data within an organization.

Skills you'll gain

Cloud Computing, Google Cloud Platform, Data Analysis, Cloud Services, Cloud Infrastructure, Cloud Storage, Cloud Technologies, Data Governance, Data Collection, Data Management, Digital Transformation, Big Data, Data Warehousing, and Data Structures

What you'll learn

  • Explain how data is defined and structured in BigQuery and Google Cloud Storage.

  • Identify the key components that make up a data lakehouse architecture.

  • Explain how partitioning can improve query performance and reduce costs.

  • Define key components of data governance.

Skills you'll gain

Data Management, Data Warehousing, Data Lakes, Data Governance, Query Languages, Data Access, Application Programming Interface (API), Cloud Storage, NoSQL, Performance Tuning, Database Management, Data Integration, Data Architecture, Big Data, Metadata Management, Data Quality, and Star Schema

What you'll learn

  • Describe the steps of the data journey and how they are used to drive data-driven decision making.

  • Recognize the role of data transformation in preparing data for analysis.

  • Describe the benefits and challenges of transforming data in the cloud.

  • Identify the key components of a data transformation plan.

Skills you'll gain

Data Cleansing, Data Pipelines, Data Transformation, SQL, Data Integration, Extract, Transform, Load, Data Management, Data Analysis, Data Visualization, Data Governance, Data Collection, Cloud Storage, Data Processing, Cloud Security, Cloud Computing, and Data Migration

What you'll learn

  • Explore the importance of data visualization and storytelling in cloud data analysis.

  • Identify and translate stakeholder requests to create dashboards and reports via wireframes and design mockups.

  • Explain the role and advantages of cloud-native data visualization tools to access, explore, and analyze data.

  • Create a report and dashboard to foster collaboration and decision-making.

Skills you'll gain

Looker (Software), Dashboard, Data Analysis, Data Storytelling, Data Presentation, Data Access, Performance Tuning, Data Visualization Software, Data Governance, Cloud Services, Version Control, Data Visualization, Business Analytics, Data Modeling, UI/UX Strategy, and Self Service Technologies

What you'll learn

  • Assess feasibility of a business request and the ability to translate into actionable data analysis.

  • Identify appropriate data visualization techniques for different types of data and analysis goals.

  • Develop career resources for a role in cloud computing. Practice resume and interview techniques for a cloud data career.

  • NEW [optional] Generative AI for Cloud Data Analytics

Skills you'll gain

Data Analysis, Communication Strategies, Responsible AI, Large Language Modeling, Generative AI, Google Cloud Platform, Analytical Skills, Data Ethics, Business Analytics, Professional Development, and Problem Solving

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Get a head start on your degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

 
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This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution. 

Instructor

Google Cloud Training
Google Cloud
1,992 Courses3,634,952 learners

Offered by

Google Cloud

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¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)