Google Cloud
Google Cloud Data Analytics Professional Certificate
Google Cloud

Google Cloud Data Analytics Professional Certificate

Launch your career in Cloud Data Analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Google Cloud. No prior experience required.

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4.9

(11 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
Recently updated!

June 2024

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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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Get exclusive access to career resources upon completion

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera's job search guide

¹Based on Coursera learner outcome survey responses, United States, 2021.

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Professional Certificate - 5 course series

Introduction to Data Analytics in Google Cloud

Course 115 hours4.9 (10 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: SQL queries
Category: Joins, STRUCTs and arrays
Category: data visualizations
Category: Reports and Dashboards
Category: Data visualizations
Category: Reports and dashboards
Category: Data importing and exporting

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 transformation
Category: SQL
Category: Data pipelines
Category: Data Pipelines
Category: Data Transformation

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 Visualization
Category: Version Control
Category: UI/UX Wireframing
Category: Version control
Category: Data visualization
Category: Dashboard creation
Category: Business data request analysis
Category: Dashboard Creation

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: Query creation
Category: Datasets/tables queries
Category: Data source tracing
Category: Dataproc search
Category: Governance and security

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.

Skills you'll gain

Category: Data Collection
Category: Cloud-based data analytics
Category: Cloud Technologies
Category: Storage Frameworks
Category: Data Structures
Category: Digital Transformation

Instructor

Google Cloud Training
Google Cloud
1,472 Courses2,608,461 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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