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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

    • V

      Vanderbilt University

      ChatGPT: Master Free AI Tools to Supercharge Productivity

      Skills you'll gain: ChatGPT, Generative AI, OpenAI, Artificial Intelligence, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Expense Management, Creative Thinking, Productivity Software, Digital Transformation, Business Process Automation, Applied Machine Learning, Creative Problem-Solving, Expense Reports, Innovation, Natural Language Processing, Test Case, Scenario Testing, Technical Communication, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Data Processing, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      732 reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      Institut Mines-Télécom

      Data intelligence for businesses and managers

      Skills you'll gain: Big Data, Data Analysis, Data Visualization

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Managing, Describing, and Analyzing Data

      Skills you'll gain: General Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Foundations of Digital Marketing and E-commerce

      Skills you'll gain: Data Storytelling, Performance Measurement, Data-Driven Decision-Making, E-Commerce, Digital Marketing, Branding, Marketing Channel, Marketing Strategy and Techniques, Customer Analysis, Advertising, Marketing Analytics, Search Engine Marketing, Customer Engagement, Content Marketing, Brand Awareness, Search Engine Optimization, Social Media Marketing, Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Team Building, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Probability Distribution, Statistical Methods, Process Analysis, Operational Excellence, Quality Management, Lean Manufacturing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      U

      University of Colorado Boulder

      Databases for Data Scientists

      Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Architecture and Administration, Databases, Database Systems, Data Modeling, Query Languages, MongoDB, Big Data, Apache Cassandra, Data Integrity, Data Access, Data Analysis, Data Manipulation, Data Processing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      J

      Johns Hopkins University

      Exploratory Data Analysis

      Skills you'll gain: Computer Graphic Techniques, Computer Graphics, Data Analysis, Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Plot (Graphics), R Programming, Statistical Programming, Visualization (Computer Graphics)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, OpenAI, Dashboard, Data Storytelling, Business Analytics, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, SQL, Data Analysis, Software Development Tools, Image Analysis, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Intermediate · Specialization · 1 - 3 Months

    Data Quality learners also search

    Data Management
    Data Governance
    Governance
    Data
    Data Science
    Data Analytics
    R
    Applied Data Science
    1…181920…520

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

    • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • A Crash Course in Data Science: Johns Hopkins University
    • Data intelligence for businesses and managers: Institut Mines-Télécom
    • Managing, Describing, and Analyzing Data: University of Colorado Boulder
    • Foundations of Digital Marketing and E-commerce: Google
    • Understanding and Visualizing Data with Python: University of Michigan
    • Six Sigma Green Belt: Kennesaw State University
    • Databases for Data Scientists: University of Colorado Boulder
    • Exploratory Data Analysis: Johns Hopkins University

    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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