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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. Visit Google Cloud Skills Boost for the latest recommended role-based learning activities.
Course
Introduction to Data Analytics on Google Cloud
Course
BigQuery for Data Analysts
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Derive Insights from BigQuery Data
Course
Boost Productivity with Gemini in BigQuery
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Create ML Models with BigQuery ML
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Introduction to Looker
Course
Prepare Data for Looker Dashboards and Reports
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Analyzing and Visualizing Data in Looker
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Looker Studio Essentials
Skill badge
Create ML Models with BigQuery ML
Course
Manage Data Models in Lookerr
Hands on labs
Applying Advanced LookML Concepts in Looker
Related information
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What you'll learn
BigQuery, SQL, Data Visualization, BigQuery ML, Cloud APIs, AI Platform, Cloud Data Fusion
Data Engineer learning path
Data Engineers design solutions that ensure maximum flexibility and scalability, while meeting all required security controls. Visit Google Cloud Skills Boost for the latest recommended role-based learning activities.
Course
Preparing for the Google Cloud Professional Data Engineer Exam
Course
Introduction to Data Engineering on Google Cloud
Course
Modernizing Data Lakes and Data Warehouses with Google Cloud
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Building Batch Data Pipelines on Google Cloud
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Building Resilient Streaming Analytics Systems on Google Cloud
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Serverless Data Processing with Dataflow
Hands on Labs
Build a Data Warehouse with BigQuery
Hands on Labs
Build a Data Mesh with Dataplex
Related information
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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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Database Engineer learning path
A Database Engineer designs, creates, manages, migrates, and troubleshoots databases used by applications to store and retrieve data. Visit Google Cloud Skills Boost for the latest recommended role-based learning activities.
Course
Google Cloud Fundamentals: Core Infrastructure
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Select a Google Cloud Database for Your Applications
Course
Enterprise Database Migration
Hands on Labs
Migrate MySQL data to Cloud SQL using Database Migration Service
Hands on Labs
Create and Manage Cloud SQL for PostgreSQL Instances
Hands on Labs
Create and Manage Spanner Instances
Hands on Labs
Create and Manage Bigtable Instances
Hands on Labs
Create and Manage AlloyDB Instances
Related information
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What you'll learn
Compute Engine, Cloud SQL, BigQuery, Spanner
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Resources
