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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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    Scrimba

    Build AI Apps with ChatGPT, Dall-E, and GPT-4

    Skills you'll gain: Prompt Engineering, Application Deployment, ChatGPT, OpenAI, Serverless Computing, Cloud Applications, LLM Application, Responsible AI, Application Programming Interface (API), Generative AI, Web Applications, Application Security, Artificial Intelligence, Web Development Tools, Image Analysis, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
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    484 reviews

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    Universidad de los Andes

    Integración y preparación de datos

    Skills you'll gain: Data Integration, Data Quality, Exploratory Data Analysis, Data Transformation, Data Cleansing, Data Manipulation, Jupyter, Data Visualization, Data Analysis, Data Science, Pandas (Python Package), Predictive Modeling, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
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    104 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Google データアナリティクス

    Skills you'll gain: Rmarkdown, Data Presentation, Data Storytelling, Data Visualization, Data Ethics, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Stakeholder Management, Interactive Data Visualization, Data Visualization Software, Data Validation, Ggplot2, Interviewing Skills, Case Studies, Spreadsheet Software, Data Analysis, Data Literacy, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
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    613 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
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    604 reviews

    Mixed · Course · 1 - 3 Months

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    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    745 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Artificial Neural Networks, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Publishing Visualizations in R with Shiny and flexdashboard

    Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Data Presentation, Application Development, UI Components, User Interface (UI), Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    70 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    4
    Rating, 4 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Integración y preparación de datos: Universidad de los Andes
  • Google データアナリティクス: Google
  • Inferential Statistics: University of Amsterdam
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • Probabilistic Graphical Models: Stanford University
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz

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