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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

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Total Data Quality

    Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Integrity, Data Collection, Quality Assurance, Data Processing, Data Strategy, Data Management, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    55 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Healthcare Data Quality and Governance

    Skills you'll gain: Data Governance, Data Quality, Data Validation, Data Management, Clinical Data Management, Health Information Management, Data Literacy, Medical Records, Metadata Management, Technical Communication, Change Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    143 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera Instructor Network

    AWS Data Automation: Glue & Lambda Integration

    Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Warehousing, Amazon S3, Automation, Cloud-Native Computing, Data Transformation, Serverless Computing, Process Optimization, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    The Total Data Quality Framework

    Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Management

    Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    109 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Measuring Total Data Quality

    Skills you'll gain: Data Quality, Data Cleansing, Quantitative Research, Data Validation, Data Collection, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Methods for Quality Improvement

    Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Data Visualization, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Quality Improvement, Process Engineering

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    52 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Edureka

    Fundamentals of Data Governance

    Skills you'll gain: Data Governance, Governance, Data Management, Compliance Management, Data Architecture, General Data Protection Regulation (GDPR), Data Strategy, Regulatory Compliance, Data Security, Cloud Security, Metadata Management, Information Management, Regulatory Requirements, Data Integrity, Data Quality, Data Access, Cloud Computing, Risk Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Data Warehousing and Integration Part 1

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Data Architecture, Star Schema, Data Governance, Database Design, Data Mart, SQL, Relational Databases, Business Intelligence, Data Mining, Data Quality, Data Analysis

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Clean Your Data

    Skills you'll gain: Data Wrangling

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    The Importance of Integrity

    Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sample Size Determination, Sampling (Statistics), Data Analysis, Statistics, Statistical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    Data Governance with Dataplex Universal Catalog

    Skills you'll gain: Data Governance, Data Management, Data Architecture, Data Quality, Data Strategy, Information Management, Metadata Management, Governance, Data Security, Identity and Access Management

    Beginner · Course · 1 - 3 Months

Data Quality learners also search

Data Management
Data Governance
Governance
Data
Data Science
Data Analytics
R
Applied Data Science
1234…766

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

  • Total Data Quality: University of Michigan
  • Healthcare Data Quality and Governance: University of California, Davis
  • AWS Data Automation: Glue & Lambda Integration: Coursera Instructor Network
  • The Total Data Quality Framework: University of Michigan
  • Introduction to Data Management: Meta
  • Measuring Total Data Quality: University of Michigan
  • Data Science Methods for Quality Improvement: University of Colorado Boulder
  • Fundamentals of Data Governance: Edureka
  • Data Warehousing and Integration Part 1: Northeastern University
  • Clean Your Data: Google

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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