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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


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    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Optimize Deep Learning: Tune PyTorch Models

    Skills you'll gain: Model Deployment, Model Evaluation, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    MCP - Model Content Protocol

    Skills you'll gain: Model Context Protocol, AI Security, Scalability, Software Architecture, Servers, Interoperability, System Design and Implementation, API Design, Enterprise Security, Real Time Data, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    685 reviews

    Intermediate · Course · 1 - 4 Weeks

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    The University of Edinburgh

    An Introduction to Responsible AI for SMEs

    Skills you'll gain: Responsible AI, Data Ethics, AI Product Strategy, AI Enablement, Business Risk Management, Business Ethics, Artificial Intelligence, Risk Analysis, Regulation and Legal Compliance, Compliance Management, Governance, Stakeholder Engagement, Open Source Technology

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

    4.7
    Rating, 4.7 out of 5 stars
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    932 reviews

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Apply Generative AI for Leadership & Human-Centered Branding

    Skills you'll gain: Generative AI, AI Enablement, Performance Analysis, Strategic Leadership, Brand Awareness, LLM Application, Branding, Leadership, Cybersecurity, Threat Modeling, Strategic Thinking, Prompt Engineering, Data Ethics, Business Transformation, Responsible AI, Storytelling, AI Personalization, Content Development and Management, Multimedia, Business

    Beginner · Specialization · 1 - 3 Months

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    University of London

    Probability and Statistics: To p or not to p?

    Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
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    1.9K reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Apply Financial Risk, Capital & Governance Analytics

    Skills you'll gain: Risk Modeling, Risk Analysis, Lending and Underwriting, Risk Management Framework, Financial Analysis, Financial Market, Portfolio Risk, Risk Management, Bank Regulations, Financial Systems, Operational Risk, Analysis, Commercial Lending, Responsible AI, Business Risk Management, Safety Culture, Financial Regulation, Business Continuity, Governance, Capital Budgeting

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Copilot Studio

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, AI Workflows, AI Enablement, Generative AI Agents, Model Deployment, No-Code Development, Performance Tuning, Business Logic, Application Deployment, Scalability, Data Integration, User Feedback

    Intermediate · Course · 1 - 4 Weeks

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1…163164165…834

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

  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Optimize Deep Learning: Tune PyTorch Models: Coursera
  • MCP - Model Content Protocol: Coursera
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • An Introduction to Responsible AI for SMEs: The University of Edinburgh
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Apply Generative AI for Leadership & Human-Centered Branding: EDUCBA
  • Probability and Statistics: To p or not to p?: University of London
  • An Intuitive Introduction to Probability: University of Zurich

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