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Data Quality Courses

Data quality courses can help you learn data validation techniques, data cleansing methods, and the importance of accuracy in data management. You can build skills in identifying data anomalies, implementing quality control processes, and ensuring compliance with data standards. Many courses introduce tools like SQL for data manipulation, Python for automation, and data visualization software to analyze and present clean data effectively.

Popular Data Quality Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    97 reviews

    Advanced · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Model Training, Model Optimization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    Dataflow를 사용한 서버리스 데이터 처리: 파이프라인 개발

    Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Data Processing, Performance Tuning, Serverless Computing, Data Import/Export, Jupyter, Data Transformation, Business Logic, Google Cloud Platform

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Project Planning and Scheduling Tools

    Skills you'll gain: Earned Value Management, Project Management Life Cycle, Resource Allocation, Work Breakdown Structure, Project Management, Resource Utilization, Milestones (Project Management), Project Management Software, Resource Planning, Resource Management, Project Controls, Project Performance, Management Reporting, Project Schedules, Project Planning, Planning, Scheduling, Decision Making, Data Structures, Environment

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Business Intelligence & Visualization

    Skills you'll gain: Data Storytelling, Dashboard, Looker (Software), Business Reporting, Dashboard Creation, Management Reporting, Performance Reporting, Marketing Analytics, Data Presentation, Key Performance Indicators (KPIs), Data-Driven Marketing, Data Visualization, Marketing Effectiveness, Star Schema, Snowflake Schema, Business Intelligence, Interactive Data Visualization, Data Modeling, Pivot Tables And Charts, Stakeholder Communications

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    A

    Amazon Web Services

    AWS Cloud Practitioner Essentials

    Skills you'll gain: Amazon Web Services, Cloud Computing, Cloud Solutions, Public Cloud, Cloud Infrastructure, Cloud Platforms, Amazon Elastic Compute Cloud, Cloud Services, Cloud Computing Architecture, Serverless Computing, Cloud Deployment, Cloud Security, Cloud Storage, Security Controls, Databases, Database Systems, Virtual Networking, Data Storage, Network Architecture, Data Migration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Debugging: A Systematic Approach

    Skills you'll gain: Debugging, LLM Application, Data-oriented programming, Program Development, Code Reusability, Python Programming, Data Manipulation, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    KodeKloud

    AWS Certified AI Practitioner

    Skills you'll gain: Amazon Bedrock, AWS SageMaker, Generative Model Architectures, Risking, Artificial Intelligence, LLM Application, Large Language Modeling, AI Workflows, AWS Identity and Access Management (IAM), Cloud Solutions, Cloud Engineering, Cloud Development, Cloud Computing, Cloud Management, Cloud Services, Automation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Software Testing

    Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Test Tools, White-Box Testing, Code Coverage, Software Quality Assurance, Functional Testing, Test Script Development, Systems Development Life Cycle, Test Data, Technical Communication

    4.3
    Rating, 4.3 out of 5 stars
    ·
    832 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    109 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Dataflow를 사용한 서버리스 데이터 처리: 파이프라인 개발: Google Cloud
  • Project Planning and Scheduling Tools: EDUCBA
  • Business Intelligence & Visualization: Coursera
  • Where, Why, and How of Lambda Functions in Python: Coursera
  • Foundations of Neural Networks: Johns Hopkins University
  • AWS Cloud Practitioner Essentials: Amazon Web Services
  • Python Debugging: A Systematic Approach: University of Michigan
  • AWS Certified AI Practitioner: KodeKloud

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