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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

    • Status: Free Trial
      Free Trial
      I

      IBM

      Incident Response and Digital Forensics

      Skills you'll gain: Incident Response, Computer Security Incident Management, Intrusion Detection and Prevention, Threat Detection, Cyber Threat Hunting, Incident Management, Cybersecurity, Security Information and Event Management (SIEM), Security Controls, Document Management, Data Integrity, Technical Communication, Technical Documentation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Social Media Marketing Capstone

      Skills you'll gain: Social Media Marketing, Presentations, Social Media Campaigns, Campaign Management, Digital Marketing, Project Closure, Analysis, Communication, System Requirements

      4.7
      Rating, 4.7 out of 5 stars
      ·
      655 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      English Intermediate B1

      Skills you'll gain: Presentations, Business Communication, Business Correspondence, English Language, Verbal Communication Skills, Negotiation, Business Writing, Interviewing Skills, Data Visualization, Communication, Vocabulary, Report Writing, Language Competency, Education and Training, Literacy, Oral Comprehension, Grammar, Language Learning, Interpersonal Communications, Environmental Issue

      4.6
      Rating, 4.6 out of 5 stars
      ·
      369 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Analitik Data Google

      Skills you'll gain: Data Presentation, Rmarkdown, Data Cleansing, Data Storytelling, Data Visualization, Data Ethics, Data Literacy, Data Validation, Spreadsheet Software, Interactive Data Visualization, Tableau Software, Ggplot2, Analytical Skills, Data Visualization Software, Data-Driven Decision-Making, Dashboard, Data Analysis, Stakeholder Management, Data Integrity, Data Collection

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      491 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Pandas for Data Science

      Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Biomedical Visualisation

      Skills you'll gain: Visualization (Computer Graphics), Medical Terminology, Augmented and Virtual Reality (AR/VR), Anatomy, Computer Graphics, Virtual Reality, Animations, Image Analysis, Biology, Medical Imaging, Augmented Reality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Michigan State University

      Design and Make Infographics (Project-Centered Course)

      Skills you'll gain: Infographics, Adobe Illustrator, Graphic and Visual Design, Data Mapping, Typography, Design Elements And Principles, Graphical Tools, Storytelling, Color Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      955 reviews

      Mixed · Course · 1 - 4 Weeks

    • Q

      Qualcomm Academy

      5G for Everyone

      Skills you'll gain: Wireless Networks, Telecommunications, Emerging Technologies, Internet Of Things, Mobile Security, Network Architecture, Network Security, Network Infrastructure, Virtualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      659 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      643 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Development Testing, Software Testing, Maintainability, Prometheus (Software), MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      209 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Mathematical Modeling

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Specialization · 3 - 6 Months

    Data Visualization learners also search

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    1…838485…609

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

    • Incident Response and Digital Forensics: IBM
    • Meta Social Media Marketing Capstone: Meta
    • English Intermediate B1: Università di Napoli Federico II
    • Analitik Data Google: Google
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Pandas for Data Science: Duke University
    • Biomedical Visualisation: University of Glasgow
    • Design and Make Infographics (Project-Centered Course): Michigan State University
    • 5G for Everyone: Qualcomm Academy
    • AI Capstone Project with Deep Learning : IBM

    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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