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  • Multi Cloud Data Analytics

Results for "multi-cloud data analytics"


  • Status: Job Skills
    Job Skills
    G

    Google Cloud

    Google Cloud Data Analytics

    Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Google Gemini, Data Visualization, Dashboard, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Gemini, Cloud Storage, Data Transformation, Identity and Access Management, Data Literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    227 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Pittsburgh

    Cloud Computing for Data Science

    Skills you'll gain: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture

    Build toward a degree

    Intermediate · Specialization · 1 - 3 Months

  • L

    LearnQuest

    Microsoft Azure: AI, Infrastructure, and Data Solutions

    Skills you'll gain: Cloud Infrastructure, Microsoft Azure, Infrastructure As A Service (IaaS), Data Processing, Big Data, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Databricks, Infrastructure Security, Data Pipelines, Virtual Networking, Azure DevOps, Virtual Machines, Azure Active Directory, Analytics, Active Directory, Network Security, Model Deployment, Python Programming, Role-Based Access Control (RBAC)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • F

    Fractal Analytics

    Modern Data Strategy for Enterprise Generative AI

    Skills you'll gain: Vector Databases, Responsible AI, Data Strategy, Data Ethics, Data Management, Data Architecture, Data Security, Generative AI, AI Security, Generative AI Agents, Data Governance, Retrieval-Augmented Generation, Interoperability, Data Store, AI Workflows, Enterprise Architecture, AI Enablement, Metadata Management, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Specialization · 1 - 3 Months

  • M

    Microsoft

    Microsoft Big Data Management and Analytics

    Skills you'll gain: Security Controls, Scalability, Azure Synapse Analytics, Data Pipelines, Databases, Microsoft Azure, Data Governance, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, SQL Server Integration Services (SSIS), Cloud Management, Data Management, Big Data, Apache Spark, Distributed Computing, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)

    Intermediate · Professional Certificate · 3 - 6 Months

  • M

    Microsoft

    Microsoft Data Architecture for Modern Data Stacks

    Skills you'll gain: Star Schema, Snowflake Schema, Data Lakes, Data Governance, Data Warehousing, CI/CD, Database Design, Microsoft Azure, Power BI, Real Time Data, Data Pipelines, Microsoft Copilot, Data Architecture, Extract, Transform, Load, Transaction Processing, Microsoft SQL Servers, Data Modeling, Transact-SQL, SQL, Cloud Infrastructure

    Intermediate · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • C

    Coursera

    Modern Data Architecture & Lakehouse Engineering

    Skills you'll gain: Data Pipelines, Data Integration, Data Lakes, Apache Airflow, Performance Tuning, Data Security, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Data Architecture, Cloud Computing, Data Governance

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, MLOps (Machine Learning Operations), Large Language Modeling, Keras (Neural Network Library)

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Cloud Analytics with Google Cloud Platform

    Skills you'll gain: Google Cloud Platform, Cloud Computing Architecture, Cloud Services, Cloud Computing, Big Data, Analytics, Cloud Platforms, Dataflow, Data Processing, Cloud Storage, Data Lakes, Cloud Infrastructure, Public Cloud, Microsoft Azure, Data Pipelines, Tensorflow, Real Time Data, Amazon Web Services, Artificial Intelligence, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Integrate Generative AI Into Your Data Workflow

    Skills you'll gain: Generative AI, Data Analysis, Machine Learning Methods, Predictive Analytics, Machine Learning, Data Science

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Intermediate · Course · 1 - 3 Months

1234…834

In summary, here are 10 of our most popular multi-cloud data analytics courses

  • Google Cloud Data Analytics: Google Cloud
  • Cloud Computing for Data Science: University of Pittsburgh
  • Microsoft Azure: AI, Infrastructure, and Data Solutions: LearnQuest
  • Modern Data Strategy for Enterprise Generative AI: Fractal Analytics
  • Microsoft Big Data Management and Analytics: Microsoft
  • Microsoft Data Architecture for Modern Data Stacks: Microsoft
  • Modern Data Architecture & Lakehouse Engineering: Coursera
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Data Analytics and Machine Learning for Big Data: Microsoft
  • Cloud Analytics with Google Cloud Platform: Packt

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