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  • Data Analytics Cloud Native Computing

Results for "data analytics cloud-native computing"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Data Analytics in Google Cloud

    Skills you'll gain: Cloud Infrastructure, Data Management, Data Governance, Cloud Computing, Google Cloud Platform, Cloud Computing Architecture, Cloud Technologies, Big Data, Cloud Storage, Data Analysis, Data Warehousing, Data Processing, Digital Transformation, Data Collection, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    164 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Data Engineering Essentials

    Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Big Data, Data Preprocessing, Feature Engineering, Model Deployment, CI/CD, Pandas (Python Package), Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Get Started with Cloud Native, DevOps, Agile, and NoSQL

    Skills you'll gain: Cloud-Native Computing, NoSQL, MongoDB, Agile Methodology, Scrum (Software Development), Cloud Applications, DevOps, Test Driven Development (TDD), CI/CD, Behavior-Driven Development, Continuous Integration, Continuous Delivery, Continuous Deployment, Sprint Retrospectives, Sprint Planning, User Story

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence, Image Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Data Preprocessing, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

    Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    97 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Data Analytics

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Data Integration, Data Lakes, Business Intelligence, Apache Hive, Apache Spark, Amazon Web Services, Extract, Transform, Load, Big Data, Apache Hadoop, Real Time Data, Applied Machine Learning, Data Pipelines, Data Processing, Serverless Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

1234…834

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

  • Introduction to Data Analytics in Google Cloud: Google Cloud
  • Data Engineering Essentials: KodeKloud
  • Get Started with Cloud Native, DevOps, Agile, and NoSQL: IBM
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • GPU Clusters & Containers: Coursera
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Data Processing, Exploratory Analysis and Visualization: Microsoft
  • Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera
  • Perform data science with Azure Databricks: Microsoft

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