Data Quality

Data Quality refers to the condition of a set of values of qualitative or quantitative variables, which should be clean, correct, complete, consistent, and updated. Coursera's Data Quality catalogue teaches you about the methodologies, techniques, and tools to manage and guarantee high data quality. You'll learn everything from the basics of data cleansing, data integration, dealing with missing or inconsistent data, to more advanced topics like data profiling and governance. Boost your career as a data analyst, data scientist, or data manager by mastering the strategies and technologies to ensure the accuracy and reliability of your data.
46credentials
210courses

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Explore the Data Quality Course Catalog

  • Status: Preview

    Skills you'll gain: Extensible Markup Language (XML), Natural Language Processing, Language Interpretation, Translation, and Studies, Multilingualism, Unstructured Data, Data Analysis Software, Data Quality, Machine Learning Methods, Statistical Machine Learning

  • Status: Preview

    University of Maryland, College Park

    Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Statistical Inference

  • Status: New
    Status: Preview

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Business Analytics, Data Literacy, Data Analysis, Data Cleansing, Business Intelligence, Data Quality, Business Ethics, Machine Learning, Artificial Neural Networks, Deep Learning, Data Science, Predictive Modeling, Python Programming, Unsupervised Learning

  • Status: Preview

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Interactive Data Visualization, Key Performance Indicators (KPIs), Tableau Software, Data Visualization Software, Data-Driven Decision-Making, Business Metrics, Data Quality

  • Status: Free Trial

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Correlation Analysis, Statistical Visualization, Data Visualization, Process Capability, Descriptive Statistics, Statistical Analysis, Quantitative Research, Probability & Statistics, Data Analysis, Analysis, R (Software), Exploratory Data Analysis, Systems Of Measurement, Data Quality, R Programming, Regression Analysis, Statistical Methods, Verification And Validation, Continuous Monitoring, Statistical Hypothesis Testing

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Supervised Learning, MLOps (Machine Learning Operations), Predictive Modeling, Jupyter, Data Pipelines, Artificial Neural Networks, Data Processing, Data Transformation, Applied Machine Learning

  • Status: New

    Skills you'll gain: Salesforce Development, Salesforce, Artificial Intelligence, Responsible AI, AI Personalization, Data Quality, Predictive Modeling, Data Management, ChatGPT, Customer Relationship Management, Generative AI, Data Cleansing, Customer Engagement

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, Supervised Learning, Data Processing, Performance Tuning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dataflow, Machine Learning Algorithms, Artificial Neural Networks

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Data Cleansing, Data Strategy, Machine Learning Methods, Machine Learning, Applied Machine Learning, MLOps (Machine Learning Operations), Unsupervised Learning, Deep Learning, Data Analysis, Machine Learning Algorithms, Artificial Neural Networks, Supervised Learning, Data Processing

  • Status: Preview

    Skills you'll gain: Data Cleansing, Data Processing, Data Wrangling, Data Integration, Data Capture, Data Literacy, Data Quality, Data Transformation, Data Management, Data Collection, Web Scraping, Data Import/Export, Data Access, Metadata Management, Unstructured Data, SQL

  • Status: Preview

    Fred Hutchinson Cancer Center

    Skills you'll gain: AI Product Strategy, Artificial Intelligence, Project Scoping, Decision Making, Usability Testing, Needs Assessment, Project Planning, Data Quality, Performance Metric, Resource Planning, Data Security

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