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.

Sponsored by Abu Dhabi National Oil Company

9,675 already enrolled

Earn a career credential that demonstrates your expertise
4.4

(111 reviews)

Beginner level
No prior experience required
Flexible schedule
2 months, 10 hours a week
Learn at your own pace
Prepare for a degree
Earn a career credential that demonstrates your expertise
4.4

(111 reviews)

Beginner level
No prior experience required
Flexible schedule
2 months, 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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Prepare for a career in Information Technology

  • Receive professional-level training from Google Cloud
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from Google Cloud
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Professional Certificate - 5 course series

Introduction to Data Analytics in Google Cloud

Course 115 hours4.6 (79 ratings)

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: Cloud Services
Category: Google Cloud Platform
Category: Cloud Platforms
Category: Public Cloud
Category: Data Management
Category: Cloud Management
Category: Data Storage
Category: Analytics
Category: Cloud Solutions
Category: Data Analysis
Category: Business Analytics
Category: Cloud Infrastructure
Category: Databases
Category: Cloud Security
Category: Cloud Applications
Category: Hybrid Cloud Computing
Category: Multi-Cloud
Category: Data Warehousing
Category: Cloud Technologies

Data Management and Storage in the Cloud

Course 224 hours3.7 (18 ratings)

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: Big Data
Category: Data Architecture
Category: Data Engineering
Category: Data Infrastructure
Category: Data Access
Category: Cloud Services
Category: Information Management
Category: Google Cloud Platform
Category: Databases
Category: Data Processing
Category: Data Lakes
Category: Database Management Systems
Category: Data Storage
Category: Data Governance
Category: Extract, Transform, Load
Category: Cloud Solutions
Category: Cloud Management
Category: Data Store
Category: Multi-Cloud

Data Transformation in the Cloud

Course 317 hours4.3 (13 ratings)

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: Data Integration
Category: Data Processing
Category: Extract, Transform, Load
Category: Data Mapping
Category: Data Transformation
Category: Data Engineering
Category: Data Management
Category: Data Wrangling
Category: Data Pipelines
Category: Data Analysis
Category: Data Architecture
Category: Data Manipulation
Category: Cloud-Based Integration
Category: Big Data
Category: Information Management
Category: Data Cleansing
Category: Data Quality
Category: Data Validation
Category: Digital Transformation
Category: Data Strategy

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: Business Intelligence Software
Category: Looker (Software)
Category: Business Intelligence
Category: Data Presentation
Category: Data Storytelling
Category: Ad Hoc Analysis
Category: Data Visualization
Category: Interactive Data Visualization
Category: Ad Hoc Reporting
Category: Data Analysis
Category: Analytics
Category: Business Analytics
Category: Dashboard
Category: Data Modeling
Category: Data Architecture
Category: Data Strategy
Category: Cloud Applications
Category: Data Engineering
Category: Data Integration
Category: Cloud-Based Integration

Put It All Together: Prepare for a Cloud Data Analyst Job

Course 513 hours4.6 (22 ratings)

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: Cloud Computing
Category: Cloud Services
Category: Public Cloud
Category: Cloud Platforms
Category: Google Cloud Platform
Category: Interviewing Skills
Category: Business Analytics
Category: Hybrid Cloud Computing
Category: Cloud Security
Category: Cloud Solutions
Category: Data Analysis
Category: Cloud Applications
Category: Cloud Management
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Multi-Cloud
Category: Generative AI
Category: Analytics
Category: Artificial Intelligence
Category: Cloud Infrastructure
Category: Data Science

Instructor

Google Cloud Training
Google Cloud
1,711 Courses2,852,119 learners

Offered by

Google Cloud

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Degree credit eligible

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.

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"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
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Learner since 2021
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¹Career improvement (i.e. promotion, raise) based on Coursera learner outcome survey responses, United States, 2021.