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.

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Big Data & Machine Learning Fundamentals

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From Data to Insights with Google Cloud Platform

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Analyzing and Visualizing Data in Looker

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Developing Data Models with LookML

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Perform Foundational Data, ML, and AI Tasks in Google Cloud

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Exploring Data with Looker

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Build LookML Objects in Looker

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Insights from Data with BigQuery

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Create ML Models with BigQuery ML

Hands on lab

Applying Advanced LookML Concepts in Looker

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Data Catalog Fundamentals

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Manage Data Models in Looker

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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.

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Preparing for the Google Cloud Professional Data Engineer Exam

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Big Data & Machine Learning Fundamentals

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Data Engineering on Google Cloud Platform

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Serverless Data Processing with Dataflow

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Perform Foundational Data, ML, and AI Tasks in Google Cloud

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Build and Optimize Data Warehouses with BigQuery

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Engineer Data with 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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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.

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Developing Applications on Google Cloud

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Enterprise Database Migration

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Migrate MySQL data to Cloud SQL using Database Migration Service

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Manage PostgreSQL Databases on Cloud SQL

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Create and Manage Cloud Spanner Databases

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Manage Bigtable on Google Cloud

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    What you'll learn

    Compute Engine, Cloud SQL, BigQuery, Cloud Spanner

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Resources