
Smart analytics and data management
The need for data analysis skills grew by 86% from 2013 to 2018 1. Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.
Data Analyst learning path
The role of a Data Analyst can vary depending on what type of industry they're in or which part of their organization they are supporting. Data Analysts gather data, analyze that data and translate the results into insights to share with business stakeholders.
Course
From Data to Insights with Google Cloud Platform
Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Data to Insights in Google Cloud features interactive scenarios and hands-on labs where you can explore, mine, load, visualize, and extract insights from diverse BigQuery datasets.
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Big Data & Machine Learning Fundamentals
Get started with big data and machine learning. This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
This course is recommended for Data and Business Analysts interested in getting started in developing data engineering skills.
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Create and Manage Cloud Resources
Gain essential skills you can apply to your first Google Cloud project. You'll learn how to write Cloud Shell commands, deploy your first virtual machine, and run applications on Kubernetes Engine or with load balancing. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
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Perform Foundational Data, ML, and AI Tasks in Google Cloud
Get started with big data, machine learning, and artificial intelligence. Take your first steps with Google Cloud tools like BigQuery, Cloud Speech API, and AI Platform. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
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Insights from Data with BigQuery
Scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
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Create ML Models with BigQuery ML
What makes a good machine learning model? Learn how to create and evaluate machine learning models as well as make predictions using BigQuery ML. Prove your knowledge by completing the quest and sharing your skill badge.
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Build and Optimize Data Warehouses with BigQuery
Transform your data warehouse using BigQuery. Learn best practices to extract, transform, and load your data into Google Cloud with BigQuery and get the opportunity to earn a skill badge upon completion.
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What you'll learn
BigQuery, SQL, Data Visualization, BigQuery ML, Cloud APIs, AI Platform, Cloud Data Fusion
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Courses
2
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Labs
58
Take the next step
Data Engineer learning path
Data Engineers design solutions that ensure maximum flexibility and scalability, while meeting all required security controls.
Course
Big Data & Machine Learning Fundamentals
Get started with big data and machine learning. This course provides an introduction to Google Cloud capabilities and a deeper dive of the data processing capabilities.
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Data Engineering on Google Cloud Platform
Get an introduction to designing data processing systems, building end-to-end data pipelines, and analyzing data. You'll learn how to lift and shift Hadoop workloads using Dataproc, process batch and streaming data on Dataflow, manage data pipelines with Data Fusion and Cloud Composer, derive business insights using BigQuery, use pre-built APIs, and build machine learning models using BigQuery ML.
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Create and Manage Cloud Resources
Gain essential skills you can apply to your first Google Cloud project. You'll learn how to write Cloud Shell commands, deploy your first virtual machine, and run applications on Kubernetes Engine or with load balancing. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
Learn moreSkill badge
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Get started with big data, machine learning, and artificial intelligence. Take your first steps with Google Cloud tools like BigQuery, Cloud Speech API, and AI Platform. You'll have the opportunity to earn a Google Cloud skill badge upon completion.
Learn moreSkill badge
Engineer Data with Google Cloud
From BigQuery, to Dataprep, to Cloud Composer & Tensorflow, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test.
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Preparing for the Professional Data Engineer Examination
You can start preparing for your Professional Data Engineer certification exam and further your ability to collect, transform, and publish data to help organizations make data-driven decisions as a Data Engineer with this course. This course alone will not prepare you to pass the Professional Data Engineer certification exam, but it will deepen your understanding of the areas covered by the exam and help you navigate the other preparation resources recommended by Google Cloud.
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What you'll learn
BigQuery, Dataflow, Data Fusion, Cloud Composer, BigQuery ML, IoT, TensorFlow, Dataproc, workload migration
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Courses
4
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Labs
31
Take the next step
Additional courses and practice
Cloud OnBoard: Unleash Your Data Potential

With the right data skills, the sky's the limit. Expand yours at Cloud OnBoard: Unleash Your Data Potential, a free instructor-led training event. Explore the fundamentals of data analysis, machine learning, and data processing, then learn how to harness the full power of BigQuery.
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