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Results for "dataops"


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

    Coursera

    SQL Infrastructure: Secure and Optimize

    Skills you'll gain: Root Cause Analysis, Data Security, Problem Management, Site Reliability Engineering, Capacity Management, Resource Management, Identity and Access Management, Role-Based Access Control (RBAC), Compliance Auditing, Configuration Management

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Data Analytics for Digital Transformation

    Skills you'll gain: Digital Transformation, Business Ethics, Customer experience strategy (CX), Predictive Analytics, Simulation and Simulation Software, Advanced Analytics, Business Transformation, Scikit Learn (Machine Learning Library), Model Evaluation, Data-Driven Decision-Making, Operations Research, Internet Of Things, Analytics, Cloud Computing, Business Analytics, Cloud Services, Automation, Systems Thinking, Complex Problem Solving, Process Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    29 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud

    Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Data Infrastructure, Apache Airflow, Data Processing, Big Data, Data Management, Information Management, Cloud Storage, Apache Spark, Automation

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data-Oriented Python Programming and Debugging

    Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, Database Management, System Monitoring, Serverless Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    DevOps and AI on AWS: AIOps

    Skills you'll gain: Amazon CloudWatch, DevOps, Devops Tools, Code Review, Amazon Web Services, AI Security, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Whizlabs

    Google Cloud DevOps Fundamentals

    Skills you'll gain: DevOps, CI/CD, Containerization, Continuous Integration, Cloud Security, Kubernetes, Software Development, Google Cloud Platform, Continuous Delivery, Cloud-Native Computing, Application Deployment, General Networking, System Monitoring, Virtual Networking, Identity and Access Management, Load Balancing, Scalability

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    352 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Data Engineering in AWS

    Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Data Preprocessing, Amazon Web Services, Data Migration, Data Cleansing, Jupyter, Dimensionality Reduction, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

1…456…9

In summary, here are 10 of our most popular dataops courses

  • SQL Infrastructure: Secure and Optimize: Coursera
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Data Analytics for Digital Transformation: Dartmouth College
  • Introduction to Data Engineering on Google Cloud: Google Cloud
  • Learn MLOps for Machine Learning: Pearson
  • Data-Oriented Python Programming and Debugging: University of Michigan
  • Build Batch Data Pipelines on Google Cloud: Google Cloud
  • DevOps and AI on AWS: AIOps: Amazon Web Services
  • Google Cloud DevOps Fundamentals: Whizlabs
  • Python Essentials for MLOps: Duke University

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