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    • Data Visualization

    Data Visualization Courses Online

    Learn data visualization techniques for presenting data effectively. Understand how to create charts, graphs, and dashboards using various tools.

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    Explore the Data Visualization Course Catalog

    • J

      Johns Hopkins University

      Fundamental Neuroscience for Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Experimentation, Research Design, Psychology, Image Analysis, Medical Terminology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Scalability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Business Analytics for Decision Making

      Skills you'll gain: Business Analytics, Risk Analysis, Business Analysis, Decision Making, Analytics, Business Intelligence, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      JavaScript for Beginners

      Skills you'll gain: jQuery, Javascript and jQuery, Ajax, Javascript, Data Validation, UI Components, HTML and CSS, Scripting, JSON, Scripting Languages, JavaScript Frameworks, Web Applications, Event-Driven Programming, Web Development Tools, Web Development, Game Design, Application Development, Application Programming Interface (API), Object Oriented Programming (OOP), Animations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: Save time with Microsoft Excel

      Skills you'll gain: Microsoft Excel, ChatGPT, Excel Formulas, Text Mining, Data Cleansing, Data Manipulation, Data Analysis Software, Unstructured Data, Generative AI, Prompt Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Using Basic Formulas and Functions in Microsoft Excel

      Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft 365, Data Analysis Software, Gross Profit, Business Mathematics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      C

      Codio

      C++: Data Structures and Algorithms

      Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, C++ (Programming Language), Programming Principles, Object Oriented Programming (OOP), Theoretical Computer Science, Computer Programming

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free
      Free
      É

      École Polytechnique Fédérale de Lausanne

      Smart Cities – Management of Smart Urban Infrastructures

      Skills you'll gain: Energy and Utilities, Transportation Operations, Governance, Technical Management, Systems Thinking, Emerging Technologies, Technology Strategies, Innovation, Infrastructure Architecture, Internet Of Things, Digital Transformation, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      M

      Macquarie University

      Artificial Intelligence (AI) Education for Teachers

      Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Machine Learning, Data Quality, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      857 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft Power Platform Fundamentals

      Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Dashboard, Data Visualization, Business Process Automation, Business Intelligence, Workflow Management, Application Development, ChatGPT, Data Analysis Software, Customer Engagement

      4.3
      Rating, 4.3 out of 5 stars
      ·
      151 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      127 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    Data Visualization learners also search

    Beginner Data Visualization
    Data Visualization Projects
    Advanced Data Visualization
    Analytics
    Business Analytics
    Business Intelligence
    Data Analytics
    Data Science
    1…737475…594

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

    • Fundamental Neuroscience for Neuroimaging: Johns Hopkins University
    • Parallel Programming in Java: Rice University
    • Developing Data Products: Johns Hopkins University
    • Business Analytics for Decision Making: University of Colorado Boulder
    • JavaScript for Beginners: University of California, Davis
    • ChatGPT for Beginners: Save time with Microsoft Excel: Coursera Project Network
    • Using Basic Formulas and Functions in Microsoft Excel: Coursera Project Network
    • C++: Data Structures and Algorithms: Codio
    • Smart Cities – Management of Smart Urban Infrastructures: École Polytechnique Fédérale de Lausanne
    • Artificial Intelligence (AI) Education for Teachers: Macquarie University

    Frequently Asked Questions about Data Visualization

    Data visualization, which is sometimes called information visualization, is the representation of datasets through graphical means such as charts, maps, visual analytics interfaces such as dashboards, and interactive visualizations. A picture is worth a thousand words - or a thousand lines of a spreadsheet - and the ability to convey key relationships within complex datasets and insights from data analysis in a visually compelling way is critically important to making sense of our world.

    While data visualizations may be as simple as a bar graph created in Microsoft Excel, the complexity, size, and velocity of datasets in the big data era often demand more powerful approaches. Specialized programs such as Tableau Software and the D3.js JavaScript library are widely used in the business world to create dynamic data visualizations, which may even incorporate real-time data streams. For particularly complex tasks, data virtualization software may also be used as middleware to integrate multiple sources and types of data into a format suitable for use with these visualization programs.‎

    The ability to create data visualizations are increasingly expected in a variety of jobs, making these skills highly valuable as well as portable. Whether you’re a financial analyst at a hedge fund displaying a real-time dashboard of portfolio risk or a data journalist creating an interactive visualization map of the spread of Covid-19, compelling data visualizations can increase the impact of your work and give you an edge in your career.

    Management analysts are particularly attuned to the value of good data visualizations. These consultants must make convincing recommendations for organizational changes to upper-level management and busy executives, and powerful graphics can be essential to making these cases effectively. According to the Bureau of Labor Statistics, management analysts earned a median annual wage of $85,260 as of 2019, and these jobs are expected to grow much faster than average as more and more companies seek advice on navigating today’s fast-changing business world.‎

    Yes! Coursera lets you learn remotely about data visualization and related topics with courses and Specializations from top-ranked schools like New York University, University of California, Davis, and the University of Illinois at Urbana-Champaign. You can also take courses from industry leaders like IBM and PwC, one of the top management consultancies in the world. Online learning with Coursera is an especially good fit for mid-career professionals seeking to add data visualization capabilities to their skill set, as you can complete coursework on a flexible schedule that fits into your existing work life.‎

    Some skills you might want to have before learning data visualization include mathematics, Excel, and some coding experience. Specifically, learning popular programming languages like R and Python can be useful for analyzing the data you want to present in a visual format. Strong data analysis skills are usually essential because you should be able to interpret data accurately to avoid misleading the people viewing the final product. In addition to technology skills, you can put to use other skills in a data visualization role, such as problem-solving, artistic skills, and communication skills.‎

    The right kind of person for a role in data visualization has a combination of technology, business, and communication skills. They typically know how to collect, analyze, and interpret data quickly and accurately using programming languages like R, Python, and JavaScript and tools such as Tableau, PowerBI, or Microsoft Excel. Someone with strong communication skills also tends to work well in this field. Being able to listen to the needs of the client and create a data visualization tool that accurately represents the data in a way that the audience understands is useful.‎

    If you're comfortable working with large amounts of data and are passionate about making sure people understand the available data about a project, program, or concern, learning data visualization may be a good choice for you. You'll likely have opportunities to help others by sharing important data in a format that’s visually appealing and easy to interpret. Learning data visualization can add to your skillset if you've previously studied or worked as a graphic designer or data analyst. You may choose to learn a programming language so you can develop your own data warehouse or another visualization tool to showcase the data you analyze, or you can decide to explore the variety of methods used to create visual displays of data.‎

    If you're looking for the best free data visualization courses available, try auditing one of these courses Data Visualization Specialization, Excel Data Analytics and Visualization Specialization, Fundamentals of Data Visualization Course, Data Visualization and Dashboarding with R Specialization or Data Analysis and Visualization Foundations Specialization. In the audit version, you can assess most of the material but will not be able to submit assignments or receive grades or a certificate for your work unless you upgrade.‎

    For those seeking to get started in data visualization, the Data Visualization with Tableau offers valuable insight into topics such as practices, theories, and tools used in data visualization. Additionally, the Data Analysis and Visualization Foundations Specialization covers the fundamentals of data visualization. For those wishing to learn R programming for data visualization methods, the Data Visualization and Dashboarding with R Specialization is a great option. Those looking for data visualization with Python can sign up for Python for Data Visualization and for Tableau, Data Visualization with Tableau provides an introduction to analytics and data visualization.‎

    For those looking to excel in advanced data visualization, Coursera offers an extensive range of courses. These include the Excel, Data Visualization & Analytics Specialization, Fundamentals of Data Visualization, Python for Data Visualization, Excel for Data Visualization, and Data Visualization Project.‎

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

    When looking to enhance your workforce's skills in Data Visualization, 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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