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Results for "cloud computing basics"


  • C

    Coursera

    Salesforce Datacloud: Advanced Consulting Skills

    Skills you'll gain: Consulting, Customer Insights, Salesforce, Business Consulting, Salesforce Development, Return On Investment, Technical Consulting, Customer Analysis, Cloud Computing Architecture, Key Performance Indicators (KPIs), Data Architecture, Scalability, Data Integration, Data Strategy, Data Modeling, Enterprise Architecture, Customer Data Management, Solution Design, Data Integrity, Stakeholder Communications

    Advanced · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Scale Data Warehouses Cost-Effectively

    Skills you'll gain: Data Architecture, Cloud Computing Architecture, Extract, Transform, Load, Cost Control, Cost Reduction, Expense Management, Cost Management, Data Storage, Data Manipulation, Descriptive Analytics, Data Analysis

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    Application Development using Microservices and Serverless

    Skills you'll gain: Cloud Deployment, Application Deployment, OpenShift, Cloud Applications, Serverless Computing, Microservices, Istio, API Gateway, Restful API, Cloud Computing, IBM Cloud, Kubernetes, Application Development, Software Architecture, Scalability, Flask (Web Framework)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    397 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Google Kubernetes Engine 시작하기

    Skills you'll gain: Cloud-Native Computing, Docker (Software), Cloud Computing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Time Series Analysis with Spark

    Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Real Time Data, Predictive Modeling, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Statistical Modeling

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Big Data Management and Optimization

    Skills you'll gain: Scalability, Data Governance, Cloud Management, Performance Tuning, Microsoft Azure, Metadata Management, Disaster Recovery, Data Security, Big Data, Enterprise Architecture, Role-Based Access Control (RBAC), Identity and Access Management

    Intermediate · Course · 1 - 3 Months

  • R

    Rice University

    Parallel, Concurrent, and Distributed Programming in Java

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    API Development on Google Cloud's Apigee API Platform

    Skills you'll gain: API Gateway, Application Programming Interface (API), Cloud API, API Design, Continuous Deployment, CI/CD, Restful API, Continuous Integration, Middleware, JSON, Software Versioning, Proxy Servers, Scalability, Extensible Markup Language (XML)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Architecting with Google Kubernetes Engine en Français

    Skills you'll gain: Kubernetes, Cloud Infrastructure, Prompt Engineering, Google Cloud Platform, Cloud-Native Computing, Cloud Applications, CI/CD, Identity and Access Management, Cloud Deployment, Continuous Delivery, Virtual Machines, Cloud Storage, Cloud Services, Application Performance Management, Containerization, Continuous Integration, Cloud Computing, Virtual Networking, Cloud Computing Architecture, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    92 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular cloud computing basics courses

  • Salesforce Datacloud: Advanced Consulting Skills: Coursera
  • Big Data: University of California San Diego
  • Scale Data Warehouses Cost-Effectively: Coursera
  • Application Development using Microservices and Serverless : IBM
  • Data Analysis with R: Duke University
  • Google Kubernetes Engine 시작하기: Google Cloud
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Time Series Analysis with Spark: Packt
  • Big Data Management and Optimization: Microsoft
  • Parallel, Concurrent, and Distributed Programming in Java: Rice University

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