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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

      University of Toronto

      Introduction to GIS Mapping

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Modeling, Data Capture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      IA Para Todos (Español)

      Skills you'll gain: Market Opportunities, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Strategic Thinking, Artificial Neural Networks, Data Science, Business Intelligence, Deep Learning, Machine Learning, Business Transformation, Computer Vision

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Compensation and Benefits Analyst

      Skills you'll gain: Compensation Analysis, Compensation Management, Compensation Strategy, Job Evaluation, Benefits Administration, Data Collection, Compensation and Benefits, Job Analysis, Data-Driven Decision-Making, Microsoft Excel, Project Management, Data Analysis, Google Sheets, Human Resource Policies, Regulatory Compliance, Labor Compliance, Human Resource Strategy, Payroll, Human Resources, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • N

      Northeastern University

      Healthcare Data Management and Information Systems

      Skills you'll gain: Health Informatics, Health Information Management, Health Care Administration, Digital Transformation, Health Systems, Health Care, Electronic Medical Record, Medical Records, Emerging Technologies, Telehealth, Information Privacy, Technology Strategies, Cybersecurity, Regulatory Compliance, Innovation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Business Intelligence Concepts, Tools, and Applications

      Skills you'll gain: Decision Support Systems, Business Intelligence, Data Warehousing, Business Process Management, Data Visualization Software, Performance Measurement, Business Analytics, MicroStrategy, Dashboard, Descriptive Analytics, Key Performance Indicators (KPIs), Analytics, Data-Driven Decision-Making, Competitive Intelligence, Business Reporting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      638 reviews

      Mixed · Course · 1 - 3 Months

    • L

      Lund University

      AI & Law

      Skills you'll gain: Legal Risk, Law, Regulation, and Compliance, Regulation and Legal Compliance, Artificial Intelligence, Intellectual Property, Legal Proceedings, Data Ethics, Labor Law, Legal Research, Innovation, Criminal Investigation and Forensics, Public Administration, Healthcare Industry Knowledge

      4.7
      Rating, 4.7 out of 5 stars
      ·
      673 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Clinical Laboratory Science, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health, Pharmacology, Molecular Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to Python

      Skills you'll gain: Data Science, Web Development, Python Programming, Programming Principles, Artificial Intelligence, Computational Thinking, Computer Programming, Application Development, Scientific Visualization

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Digital Marketing Analytics in Practice

      Skills you'll gain: Data Storytelling, Marketing Analytics, Google Analytics, Web Analytics, Analytics, Trend Analysis, Digital Marketing, Data Analysis, Marketing, Digital Advertising, Data Collection, Information Privacy

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Create Interactive Dashboards with Streamlit and Python

      Skills you'll gain: Plotly, Dashboard, Pandas (Python Package), Data Manipulation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Web Applications, Data Analysis, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      395 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Data Visualization learners also search

    Beginner Data Visualization
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    1…656667…595

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

    • Introduction to GIS Mapping: University of Toronto
    • IA Para Todos (Español): DeepLearning.AI
    • ADP Entry-Level Compensation and Benefits Analyst: Automatic Data Processing, Inc. (ADP)
    • Healthcare Data Management and Information Systems: Northeastern University
    • Introduction to Computer Vision and Image Processing: IBM
    • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
    • AI & Law : Lund University
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)
    • Introduction to Python: Coursera Project Network
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: 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.‎

    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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