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

(181 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

(181 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

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  • Receive professional-level training from Google Cloud
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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

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

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

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

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

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

Category: Dashboard
Category: Data Presentation
Category: Performance Tuning
Category: Data Storytelling
Category: Data Access
Category: Business Analytics
Category: Cloud Services
Category: Data Governance
Category: Business Intelligence
Category: Version Control
Category: Data Modeling
Category: Data Visualization Software
Category: UI/UX Strategy
Category: Self Service Technologies
Category: Data Visualization

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

Category: Data Analysis
Category: Data Ethics
Category: Artificial Intelligence
Category: Google Cloud Platform
Category: Data Presentation
Category: Generative AI
Category: Data Storytelling
Category: Problem Solving
Category: Professional Development
Category: Analytics
Category: Large Language Modeling

Earn a career certificate

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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

 
ACE Logo

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
1,906 Courses3,525,841 learners

Offered by

Google Cloud

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¹Career improvement (i.e. promotion, raise) based on Coursera learner outcome survey responses, United States, 2021.