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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

    • U

      Universidad Nacional Autónoma de México

      Programación musical con software libre

      Skills you'll gain: Musical Composition, Electronic Hardware, Music, Electronic Components, Electronics, Music Theory, Digital Communications, Hardware Design, Patch Management, Programmable Logic Controllers, Instrumental Music, Embedded Systems, System Configuration, Algorithms, Performance Tuning, Programming Principles, Generative AI, Multimedia, Other Programming Languages, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      55 reviews

      Beginner Ā· Specialization Ā· 1 - 3 Months

    • J

      Johns Hopkins University

      Calculus through Data & Modelling: Series and Integration

      Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Numerical Analysis, Mathematical Modeling

      5
      Rating, 5 out of 5 stars
      Ā·
      47 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    • U

      University of Colorado Boulder

      Linux Embedded System Topics and Projects

      Skills you'll gain: Agile Methodology, Scrum (Software Development), Software Testing, Embedded Systems, Software Development Methodologies, Docker (Software), Git (Version Control System), Containerization, System Programming, Linux, C++ (Programming Language), Internet Of Things, IBM WebSphere MQ, File Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      9 reviews

      Advanced Ā· Course Ā· 1 - 4 Weeks

    • U

      UniversitĆ  di Napoli Federico II

      A quick tour on Big Data and Business Intelligence

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Hive, Big Data, Database Systems, Artificial Intelligence, Distributed Computing, Data Processing, Scalability, Business Intelligence, Data Management

      4
      Rating, 4 out of 5 stars
      Ā·
      21 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Colorado Boulder

      The Sun and the Total Eclipse of August 2017

      Skills you'll gain: Physics, Physical Science, General Science and Research, Scientific Methods, Environment, Scientific Visualization, Safety Assurance, Experimentation, Research

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      69 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Planning a Generative AI Project

      Skills you'll gain: Generative AI, Business Planning, Technology Roadmaps, Project Risk Management, Project Planning, Risk Analysis, Technical Design

      4.4
      Rating, 4.4 out of 5 stars
      Ā·
      99 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Q

      Queen Mary University of London

      Research Instruments and Research Hypotheses

      Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      20 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • A

      Arizona State University

      Digital Intelligence for Everyone

      Skills you'll gain: Cyber Attacks, Data Security, Safety and Security, Cybersecurity, Computer Security Awareness Training, Information Systems Security, Content Creation, Media and Communications, Storytelling, Productivity, Digital Communications, Creativity, Web Content, Interpersonal Communications, Digital Design, Personal Development, Self-Awareness, De-escalation Techniques, Stress Management, Health Technology

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      77 reviews

      Beginner Ā· Specialization Ā· 3 - 6 Months

    • U

      University of Michigan

      Logistic Regression and Prediction for Health Data

      Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • M

      Microsoft

      The PL-900 Practice Exam

      Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Data Analysis Software, Application Development, Business Process Automation, Systems Integration, Cloud Applications

      4.4
      Rating, 4.4 out of 5 stars
      Ā·
      25 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • M

      MathWorks

      Advanced Deep Learning Techniques for Computer Vision

      Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      9 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Matplotlib, Natural Language Processing, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Semantic Web, Seaborn, Pandas (Python Package), Machine Learning, Artificial Neural Networks, Data Processing, Supervised Learning, Text Mining, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction, Python Programming

      Beginner Ā· Specialization Ā· 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…298299300…589

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

    • Programación musical con software libre:Ā Universidad Nacional Autónoma de MĆ©xico
    • Calculus through Data & Modelling: Series and Integration:Ā Johns Hopkins University
    • Linux Embedded System Topics and Projects:Ā University of Colorado Boulder
    • A quick tour on Big Data and Business Intelligence:Ā UniversitĆ  di Napoli Federico II
    • The Sun and the Total Eclipse of August 2017:Ā University of Colorado Boulder
    • Planning a Generative AI Project:Ā Amazon Web Services
    • Research Instruments and Research Hypotheses:Ā Queen Mary University of London
    • Digital Intelligence for Everyone:Ā Arizona State University
    • Logistic Regression and Prediction for Health Data:Ā University of Michigan
    • The PL-900 Practice Exam:Ā Microsoft

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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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