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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
      U

      University at Buffalo

      Digital Manufacturing & Design

      Skills you'll gain: Digital Transformation, Manufacturing Processes, Manufacturing Operations, Industrial Engineering, Business Transformation, Digital Design, Data-Driven Decision-Making, Product Lifecycle Management, Supply Chain, Market Dynamics, Safety and Security, Workforce Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Genomics: Decoding the Universal Language of Life

      Skills you'll gain: Life Sciences, Bioinformatics, Molecular Biology, Environment, Precision Medicine, Biology, Health Systems, Medical Science and Research, Environmental Science, Microbiology, Computational Thinking, Data Processing, Experimentation, Research, Scientific Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      323 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      320 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Chicago

      Global Warming I: The Science and Modeling of Climate Change

      Skills you'll gain: Mitigation, Environment, Physics, Mathematical Modeling, Environmental Monitoring, Systems Thinking, Environmental Science, Simulations, Biology, Economics, Energy and Utilities, Chemistry, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      451 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Dartmouth College

      C Programming with Linux

      Skills you'll gain: Command-Line Interface, C (Programming Language), Linux Commands, Computer Programming Tools, Embedded Systems, Embedded Software, Programming Principles, Computer Engineering, Linux Servers, Linux, File Systems, System Programming, Build Tools, Data Structures, Unix, Program Development, Development Environment, Algorithms, Computer Architecture, Software Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      399 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Business Intelligence (BI) Essentials

      Skills you'll gain: Business Intelligence, Data-Driven Decision-Making, Data Mining, Business Analytics, Data Analysis, Statistical Visualization, Data Management, Data Collection, Data Warehousing, Data Wrangling, Extract, Transform, Load, Data Visualization Software, Data Transformation, Key Performance Indicators (KPIs)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      311 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

      Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      823 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Humanidades digitales

      Skills you'll gain: Digital Transformation, Liberal Arts, Research, Human Computer Interaction, Open Source Technology, Data Ethics, Computer Science, Image Analysis, Software Visualization, Computer Vision, Database Systems, Artificial Intelligence, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      901 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Analytics in Healthcare Management and Administration

      Skills you'll gain: Performance Improvement, Process Analysis, Health Care Administration, Process Mapping, Health Systems, Health Informatics, Business Analytics, Clinical Trials, Systems Thinking, Quality Improvement, Change Management, Analytics, Health Care, Care Coordination, Patient Coordination, Complex Problem Solving, Decision Making, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Front-End Developer Capstone

      Skills you'll gain: Responsive Web Design, Front-End Web Development, Git (Version Control System), Web Content Accessibility Guidelines, User Interface and User Experience (UI/UX) Design, HTML and CSS, Code Review, React.js, Usability, Usability Testing, Web Applications, Semantic Web, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      420 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python Essentials for MLOps

      Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Data Manipulation, Software Testing, Data Import/Export, Python Programming, Debugging, Data Structures, Object Oriented Programming (OOP), Scripting, Program Development, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

      4.2
      Rating, 4.2 out of 5 stars
      ·
      271 reviews

      Intermediate · Course · 1 - 3 Months

    Data Visualization learners also search

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    1…939495…610

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

    • Digital Manufacturing & Design: University at Buffalo
    • Introduction and Programming with IoT Boards: Pohang University of Science and Technology(POSTECH)
    • Genomics: Decoding the Universal Language of Life: University of Illinois Urbana-Champaign
    • Unsupervised Machine Learning: IBM
    • Global Warming I: The Science and Modeling of Climate Change: The University of Chicago
    • C Programming with Linux: Dartmouth College
    • Business Intelligence (BI) Essentials: IBM
    • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
    • Humanidades digitales: Universitat Autònoma de Barcelona
    • Analytics in Healthcare Management and Administration: Northeastern 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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