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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

    • I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, ChatGPT, Artificial Intelligence, Data Ethics, Data Visualization Software, SQL, Python Programming, Data Processing, Data Cleansing, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: ChatGPT, Generative AI, Mobile Development, OpenAI, CI/CD, Software Development, Apple iOS, Software Development Life Cycle, DevSecOps, Data Ethics, Application Development, Natural Language Processing, Cloud Development, Prototyping, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, IBM Cloud, Software Development Tools, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Advanced · Specialization · 1 - 3 Months

    • M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Data Processing, Unstructured Data, Feature Engineering, Data Manipulation, Data Cleansing, Python Programming, Unsupervised Learning, Machine Learning Algorithms, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Programming Principles, Data Processing, Data Manipulation, Software Installation, Development Environment, Computational Logic, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Scripting Languages, Data Integration, Data Analysis, Computer Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Data Science, Matplotlib, Exploratory Data Analysis, Statistical Inference, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      425 reviews

      Mixed · Course · 1 - 3 Months

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      M

      Microsoft

      Explore Core Data Concepts in Microsoft Azure

      Skills you'll gain: Microsoft Azure, Data Processing, Databases, Data Infrastructure, Database Management Systems, Data Storage, Database Management, Relational Databases, Query Languages, NoSQL, Data Management, Cloud Computing, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      435 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of California, Davis

      Essential Design Principles for Tableau

      Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Exploratory Data Analysis, Data Presentation, Data Storytelling, Web Content Accessibility Guidelines, Design Elements And Principles, Data Ethics, Human Factors, Aesthetics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: ChatGPT, Generative AI, HR Tech, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Artificial Intelligence, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Software Development Tools, Augmented and Virtual Reality (AR/VR), Employee Engagement, Deep Learning, Image Analysis, Recruitment, Automation, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Placeholder
      I

      IBM

      People and Soft Skills for Professional and Personal Success

      Skills you'll gain: Active Listening, Problem Solving, Collaboration, Presentations, Interpersonal Communications, Teamwork, Conflict Management, Creative Problem-Solving, Constructive Feedback, Creative Thinking, Root Cause Analysis, Team Building, Virtual Teams, Team Oriented, Public Speaking, Agile Methodology, Persuasive Communication, Client Services, Ability To Meet Deadlines, Business Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.4K reviews

      Beginner · Specialization · 1 - 3 Months

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      U

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Predictive Modeling, Probability, Operations Research, Business Process Modeling, Business Risk Management, Statistical Analysis, Probability Distribution, Simulation and Simulation Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      428 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Data Quality learners also search

    Data Management
    Data Governance
    Governance
    Data
    Data Science
    Data Analytics
    R
    Applied Data Science
    1…434445…612

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

    • Generative AI: Enhance your Data Analytics Career : IBM
    • Generative AI for Mobile App Developers: IBM
    • Microsoft Data Visualization: Microsoft
    • Applied Text Mining in Python: University of Michigan
    • Introduction to Scripting in Python: Rice University
    • Statistics for Data Science with Python: IBM
    • Explore Core Data Concepts in Microsoft Azure: Microsoft
    • Essential Design Principles for Tableau: University of California, Davis
    • Generative AI for Human Resources (HR) Professionals: IBM
    • People and Soft Skills for Professional and Personal Success: IBM

    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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