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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
    Free
    A

    Amazon Web Services

    Essentials of Prompt Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, AI Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    808 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework - Define and Measure Phase

    Skills you'll gain: Process Capability, Statistical Analysis, Data Analysis, Project Management, Six Sigma Methodology, Statistics, Work Breakdown Structure, Lean Six Sigma, Data Collection, Project Scoping, Performance Measurement, Process Improvement, Quality Management, Customer experience improvement, Quality Control, Process Mapping

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Adobe

    Ideate and Visualize Creative Ideas Using AI Tools

    Skills you'll gain: Adobe Firefly, Prompt Engineering, Adobe Express, Ideation, Generative AI, Presentations, Storyboarding, Writing, Creativity, Storytelling, Adobe Creative Cloud, Creative Design, Design Thinking, Graphic and Visual Design, Collaboration, Visual Design, Image Quality

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Custom Reports in Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Management Reporting, Performance Reporting, Web Analytics, Marketing, Web Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    170 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Coding for Everyone: C and C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Computer Programming, Algorithms, C (Programming Language), Graph Theory, Debugging, Artificial Intelligence, Data Structures, Game Design, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    167 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Statistical Modeling, Supervised Learning, Statistics, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    42 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Preparing for the SAS Programming Certification Exam

    Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Preprocessing, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Fraud Detection and Compliance

    Skills you'll gain: Fraud detection, Generative AI, Responsible AI, Regulatory Requirements, Compliance Management, Governance, Business Risk Management, Risk Management, Data Ethics, Anomaly Detection, Artificial Intelligence, AI Enablement, Forecasting

    4.4
    Rating, 4.4 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Python for Beginners: Variables and Strings

    Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Beginner · Guided Project · Less Than 2 Hours

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1…205206207…834

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

  • Essentials of Prompt Engineering: Amazon Web Services
  • The DMAIC Framework - Define and Measure Phase: SkillUp
  • Ideate and Visualize Creative Ideas Using AI Tools: Adobe
  • Custom Reports in Google Analytics: Coursera
  • Principal Component Analysis with NumPy: Coursera
  • Coding for Everyone: C and C++: University of California, Santa Cruz
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Preparing for the SAS Programming Certification Exam : SAS
  • Core generative models and techniques: Microsoft

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