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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

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, HTML and CSS, Software Development Life Cycle, Software Architecture, Large Language Modeling, Unit Testing, Generative AI, Artificial Intelligence, Software Design, ChatGPT, Jupyter, Scrum (Software Development), Software Engineering, Agile Methodology, Bootstrap (Front-End Framework), Web Design, Application Deployment, Automation, Interviewing Skills, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Data Wrangling, Large Language Modeling, Unit Testing, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Artificial Intelligence, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Import/Export, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Tidyverse (R Package), Data Visualization Software, Statistical Programming, Data Cleansing, Data Manipulation, Programming Principles, Data Transformation, Integrated Development Environments, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Data Storytelling, Program Development, Data Modeling, Data Presentation, Predictive Analytics, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.1K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    Data Quality learners also search

    Data Management
    Data Governance
    Governance
    Data
    Data Science
    Data Analytics
    R
    Applied Data Science
    1234…640

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

    • IBM AI Developer: IBM
    • IBM Data Science: IBM
    • Data Science: Johns Hopkins University
    • Data Structures and Algorithms: University of California San Diego
    • IBM Generative AI Engineering: IBM
    • Data Analysis with R Programming: Google
    • Mathematics for Machine Learning: Imperial College London
    • IBM Data Management: IBM
    • Generative AI for Data Scientists: IBM
    • Foundations: Data, Data, Everywhere: 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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