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April 17, 2024
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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.
Instructor: Google Cloud Training
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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.
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Become a data-driven powerhouse with Google Cloud! As a Cloud Data Analyst, you'll unlock insights hidden within vast datasets, transforming raw numbers into impactful stories that shape business strategies across the globe. This certificate program is your launchpad – a carefully curated mix of expert instruction and real-world challenges. You'll build a portfolio of impressive projects, showcasing to employers that you can analyze, visualize, and communicate data.
In this certificate program you’ll immerse yourself in the fundamentals of cloud data analytics. You’ll progressively build your working knowledge of how to structure, store, access, and visualize data using various Cloud tools and integration, such as Cloud Storage, BigQuery, Looker and Dataproc. The program will also touch on how AI is revolutionizing data analytics, from automating repetitive tasks to uncovering hidden insights.
No prior experience or degree is required to get started. This is where your journey begins – get ready to wield the tools and strategies that turn data into decisive action.
Applied Learning Project
This certificate program prepares aspiring cloud data analysts for entry-level roles in the field. There are no prerequisites, but it’s helpful for learners to be familiar with foundational data analytics concepts, skills, and tools. Supplemental content on these concepts is included within the certificate.
There are five courses in which learners will complete hands-on labs that allow them to practice skills and produce work examples to show potential employers. Courses 1-4 teach how to structure, store, access, and visualize data using cloud tools. Course 5 features a capstone project to apply these skills in completing a full cloud data life cycle project. Estimated completion: 3 months.
Skills you’ll gain: Generative AI in Data Analytics, working knowledge of structure, store, access, and visualize data using cloud tools and integrations.
Platforms and tools you will learn: Presentations, Looker & LookML, BigQuery, SQL Dataplex, Cloud Storage
Prerequisites: None
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.
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.
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.
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.
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
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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
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.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.
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 (3/1/2024 - 3/1/2025)