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    • Data Quality

    Data Quality Courses Online

    Master data quality management for ensuring accurate and reliable data. Learn to measure, monitor, and improve data quality.

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    Explore the Data Quality Course Catalog

    • J

      Johns Hopkins University

      Surveillance Systems: The Building Blocks

      Skills you'll gain: Epidemiology, Health Systems, System Monitoring, Health Assessment, Continuous Monitoring, Program Evaluation, Infectious Diseases, Data Quality, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      482 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Evaluating Large-Scale Health Programs

      Skills you'll gain: Program Evaluation, Survey Creation, Sampling (Statistics), Health Systems, Health Assessment, Data Collection, Quantitative Research, Data Analysis, Data Management, Statistical Analysis, Analysis, Research Design, Data Cleansing, Policy Analysis, Policy Development, Policty Analysis, Research, and Development, Health Administration, Data Quality, Health Care Administration, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      61 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Microsoft

      Microsoft Power BI and Power Platform for Productivity

      Skills you'll gain: Extract, Transform, Load, Star Schema, Dashboard, Microsoft Power Platform, Data Analysis Expressions (DAX), Data Storytelling, Power BI, Microsoft Power Automate/Flow, Interactive Data Visualization, Microsoft Excel, Excel Formulas, Data-Driven Decision-Making, Data Analysis, Data Presentation, Data Visualization Software, Data Transformation, Data Modeling, Generative AI, ChatGPT, Productivity Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      388 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Statistical Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      101 reviews

      Beginner · Specialization · 3 - 6 Months

    • N

      Northeastern University

      Evaluating the Quality of Healthcare Delivery

      Skills you'll gain: Quality Assessment, Program Evaluation, Health Care, Patient Safety, Quality Improvement, Benchmarking, Healthcare Industry Knowledge, Performance Measurement, Scientific Methods, Performance Improvement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Data Analysis and Reporting in SAS Visual Analytics

      Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Exploratory Data Analysis, Analytics, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Visualization Software, Data Storytelling, Business Reporting, Graphing, Statistical Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      354 reviews

      Mixed · Course · 1 - 4 Weeks

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      C

      Coursera Project Network

      Getting Started with R

      Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Software Installation, Data Analysis Software, Data Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      376 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      Status: Free
      Free
      U

      University of London

      Probability and Statistics: To p or not to p?

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      Universidad Nacional Autónoma de México

      Fundamentos Estratégicos Empresariales

      Skills you'll gain: Business Planning, Strategic Marketing, ISO 9000 Series, Marketing, Quality Management, Organizational Strategy, Business Strategies, Governance, Financial Analysis, Marketing Planning, Corporate Strategy, Financial Statements, Operations Management, Quality Management Systems, Organizational Structure, Working Capital, Market Analysis, Market Research, Financial Controls, Production Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      G

      Google Cloud

      Creating New BigQuery Datasets and Visualizing Insights

      Skills you'll gain: Looker (Software), Dashboard, SQL, Data Presentation, Data Visualization, Data Storytelling, Data Import/Export, Big Data, Data Integration, Business Intelligence Software, Data Storage, Data Manipulation, Data Analysis, Data Warehousing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of Michigan

      PostgreSQL for Everybody

      Skills you'll gain: Stored Procedure, Database Design, SQL, Relational Databases, NoSQL, PostgreSQL, Database Architecture and Administration, Database Systems, Database Theory, Database Management, Data Modeling, Databases, JSON, Database Development, Scalability, Database Management Systems, Distributed Computing, Cloud Applications, Text Mining, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

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      G

      Google Cloud

      Reliable Google Cloud Infrastructure: Design and Process

      Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Infrastructure Architecture, Cloud Storage, Cloud Applications, Key Performance Indicators (KPIs), DevOps, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Advanced · Course · 1 - 3 Months

    Data Quality learners also search

    Data Management
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    Governance
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    R
    Applied Data Science
    1…727374…612

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

    • Surveillance Systems: The Building Blocks: Johns Hopkins University
    • Evaluating Large-Scale Health Programs: Johns Hopkins University
    • Microsoft Power BI and Power Platform for Productivity: Microsoft
    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • Evaluating the Quality of Healthcare Delivery: Northeastern University
    • Data Analysis and Reporting in SAS Visual Analytics: SAS
    • Getting Started with R: Coursera Project Network
    • Probability and Statistics: To p or not to p?: University of London
    • Fundamentos Estratégicos Empresariales: Universidad Nacional Autónoma de México
    • Creating New BigQuery Datasets and Visualizing Insights: Google Cloud

    Frequently Asked Questions about Data Quality

    When you take a look at the condition of the data — how well it’s meeting your needs based on metrics like accuracy, consistency and completeness — you’re looking at data quality. And, as with most things, you want your data to be high quality so you know you’re generating the most useful, helpful results possible. When gathering data, it’s essential to ensure those data accurately and fully represent the information you’re attempting to capture with them. Those data need to be reliable and consistent so you’re sure the conclusions you’re drawing from them are precise and correct.‎

    Whether you’re reading statistics in the news or you plan to work with data one day, understanding data quality can help you better judge everything from the integrity with which a study was conducted to the metrics you’ll use as you set up a large research project. People often make big decisions based on data, and knowing how valid, accurate and applicable those data are can influence those choices. When data aren’t high quality, they don’t provide the right insights — and the right insights are truly what you need in order to avoid poor decision-making and other unfavorable outcomes. When you learn about data quality, you become better at assessing those data and utilizing them, and the choices you make — or the software you’re developing for data analysis — will have more integrity as a result.‎

    Jobs that involve working closely with data will have you assessing data quality on a regular basis. You might work as a data quality specialist who defines and measures data quality standards for a company. Or, perhaps you’ll find a position as a data governance and quality analyst who integrates data into different systems to generate new insights about their meaning and relevance. With new knowledge about what data quality is and how to assess it, you’ll be better prepared to enjoy these and other careers.‎

    Taking online classes about everything from data analysis to data models can help you discover the best ways to compile, assess and use data in a variety of settings. And the setting you’ll enjoy while learning is totally up to you — that’s one of the big benefits of taking classes online. You have the freedom to learn when you’re ready and on the schedule that works best for you, whether you plan to devote hours a day to learning or want to work towards a certificate a few nights a week after work. With your self-direction and added support from expert instructors, you’ll gain new insights and applicable skills from online coursework that easily integrates into your life. Taking courses online helps you learn about compiling and evaluating data and making sure it's high-quality, comprehensive and accurate.‎

    Online Data Quality courses offer a convenient and flexible way to enhance your knowledge or learn new Data Quality skills. Choose from a wide range of Data Quality courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Quality, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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