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  • Data Modeling

Data Modeling Courses

Data modeling courses can help you learn how to create data structures, define relationships between data elements, and ensure data integrity. You can build skills in normalization, schema design, and data visualization techniques. Many courses introduce tools like SQL for database management, ERD tools for visualizing data relationships, and software like Tableau for data analysis, showing how these skills are applied in practical work.


Popular Data Modeling Courses and Certifications


  • G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Professional Data Engineer Journey - Português

    Skills you'll gain: Data Pipelines, Data Processing, Google Cloud Platform, Data Warehousing, Data Maintenance, Data Storage, Cloud Engineering, Data Analysis, Data Architecture, Data Preprocessing, Automation, Data Security

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Redacting Sensitive Data with the DLP API

    Skills you'll gain: Data Security, Google Cloud Platform, Cloud Computing, Data Loss Prevention, Personally Identifiable Information, Cloud Development, Cloud API, Data Cleansing, Node.JS

    Beginner · Project · Less Than 2 Hours

  • U

    University of Illinois at Urbana-Champaign

    Graduate Certificate in Accounting Data Analytics

    Skills you'll gain: Business Strategy, Data Visualization, Data Storytelling, Management Accounting, Model Evaluation, Fund Accounting, Operations Management, Organizational Change, Mergers & Acquisitions, Financial Statement Analysis, Project Closure, Risk Management, Social Determinants Of Health, Revenue Recognition, Entrepreneurship, Data Governance, Financial Auditing, Generative AI, Supply And Demand, Statistical Inference

    Credit offered

    Graduate Certificate · 6 - 12 Months

  • P

    Packt

    Satellite Remote Sensing Data Bootcamp With Opensource Tools

    Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, Unsupervised Learning, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Job Ready
    Job Ready
    N

    Northeastern University

    Master of Science in Data Analytics Engineering

    Skills you'll gain: Data Storytelling, Text Mining, Data Warehousing, Unsupervised Learning, Database Design, Data Governance, Data Mining, Interactive Data Visualization, Generative AI, Web Scraping, Plotly, Classification Algorithms, PyTorch (Machine Learning Library), Operations Research, Supervised Learning, NoSQL, Database Theory, Exploratory Data Analysis, Time Series Analysis and Forecasting, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • W

    Whizlabs

    Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate

    Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Virtual Networking

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • L

    LearnKartS

    Database, Big Data, and DevOps Services in GCP

    Skills you'll gain: Site Reliability Engineering, Google Cloud Platform, Dataflow, Kubernetes, Real Time Data, Database Management, Big Data, Continuous Deployment, Data Pipelines, Databases, Relational Databases, Containerization, Cloud Applications, Data Processing, DevOps, Software Architecture, Scalability, Cloud Storage, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Serverless Data Processing Dataflow em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Identity and Access Management, Data Processing, Cloud Security, Data Infrastructure, Real Time Data, Debugging, Google Cloud Platform, Site Reliability Engineering, Data Integrity, CI/CD, Data Integration, Extract, Transform, Load, Performance Tuning, Cloud Storage, Event Monitoring, Interoperability

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Designing Data Storage and Integration Solutions in Azure

    Skills you'll gain: Data Integration, Microsoft Azure, Cloud Storage, Disaster Recovery, Data Architecture, Database Design, Data Infrastructure, Data Storage, Cloud Security, NoSQL, Encryption, Relational Databases, Scalability, Performance Tuning, Database Management, Identity and Access Management

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Google Cloud Fundamentals: Core Infrastructure

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Kubernetes, Containerization, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Virtual Networking, Cloud Computing, Application Development, Generative AI Agents, Data Storage Technologies, Cloud Computing Architecture, Network Infrastructure, Serverless Computing, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate 日本語版

    Skills you'll gain: Google Cloud Platform, Data Lakes, Dataflow, Data Pipelines, Data Infrastructure, Apache Kafka, Tensorflow, Data Architecture, MLOps (Machine Learning Operations), Data Governance, Data Migration, Apache Spark, Model Deployment, Real Time Data, Data Processing, Data Warehousing, Big Data, Extract, Transform, Load, Data Quality, Metadata Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    297 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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1…155156157…834

In summary, here are 10 of our most popular data modeling courses

  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
  • Preparing for Professional Data Engineer Journey - Português: Google Cloud
  • Redacting Sensitive Data with the DLP API: Google Cloud
  • Graduate Certificate in Accounting Data Analytics: University of Illinois at Urbana-Champaign
  • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
  • Master of Science in Data Analytics Engineering: Northeastern University
  • Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs
  • Database, Big Data, and DevOps Services in GCP: LearnKartS
  • Serverless Data Processing Dataflow em Português Brasileiro: Google Cloud
  • Designing Data Storage and Integration Solutions in Azure: Packt

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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