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  • Data Analytics Cloud Native Computing

Results for "data analytics cloud-native computing"


  • 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

  • Status: AI Skills
    AI 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

  • S

    Simplilearn

    Data Analytics with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    832 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    444 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • 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

    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

    Modern Data Warehouse Analytics in Microsoft Azure

    Skills you'll gain: Azure Synapse Analytics, Power BI, Databricks, Microsoft Azure, Cloud Services, Data Warehousing, Data Architecture, Cloud Storage, Databases, Data Lakes, Business Intelligence, Analytics, Big Data, Data Visualization Software, Data Integration, Data Processing, Data Pipelines, Data Visualization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    132 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Data Analysts

    Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, Analytics, AI Product Strategy, Data Transformation, Predictive Analytics, Data Preprocessing, Machine Learning Algorithms, Responsible AI

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Cloud-Native – Microservices, Kubernetes & CI/CD

    Skills you'll gain: Infrastructure as Code (IaC), Istio, Terraform, Kubernetes, Cloud-Native Computing, Serverless Computing, Microservices, DevOps, Amazon Web Services, API Gateway, Scalability, CI/CD, Application Deployment, Cloud Deployment, Restful API, Containerization, Amazon DynamoDB, Prometheus (Software), Cloud Applications, Redis

    Intermediate · Specialization · 3 - 6 Months

1234…834

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

  • Cloud Computing for Data Science: University of Pittsburgh
  • Google Cloud Data Analytics: Google Cloud
  • Data Analytics with Python: Simplilearn
  • Modern Data Architecture & Lakehouse Engineering: Coursera
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Modern Data Analytics with Python, Excel & Generative AI: Coursera
  • Cloud Analytics with Google Cloud Platform: Packt
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • Modern Data Warehouse Analytics in Microsoft Azure: Microsoft
  • GenAI for Data Analysts: Coursera

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