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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
      Free
      U

      University of Virginia

      Introduction to Personal Branding

      Skills you'll gain: Branding, Brand Strategy, Brand Management, Personal Attributes, Digital Assets, Social Media, Personally Identifiable Information, Computer Security Awareness Training, Self-Awareness, Social Media Strategy, Information Privacy, Constructive Feedback

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8.8K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Go Beyond the Numbers: Translate Data into Insights

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Visualization Software, Data Presentation, Data Transformation, Data Ethics, Tableau Software, Data Manipulation, Data Cleansing, Data Analysis, Stakeholder Communications, Matplotlib, Pandas (Python Package), Jupyter, Data Validation, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      779 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Edureka

      Data Storytelling with Power BI

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Dashboard, Data Visualization Software, Data Storytelling, Interactive Data Visualization, Data Presentation, Data Modeling, Business Intelligence, Microsoft Excel, Data Manipulation, Performance Reporting, Data Cleansing, Report Writing, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      126 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Dashboard, Business Analytics, Data Quality, Business Intelligence, Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Exploratory Data Analysis, Project Management Life Cycle, Job Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Epidemiology in Public Health Practice

      Skills you'll gain: Epidemiology, Public Health, Spatial Data Analysis, Data Presentation, Public Health and Disease Prevention, Geographic Information Systems, Health Policy, Chronic Diseases, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Community Health, Health Care, Data Analysis, Program Evaluation, Health Information Management, Health Informatics, Continuous Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      People Analytics

      Skills you'll gain: People Analytics, Human Capital, Talent Management, Human Resources Management and Planning, Workforce Planning, Performance Analysis, Data-Driven Decision-Making, Analytics, Employee Retention, Data Analysis, Employee Performance Management, Predictive Analytics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Everyday Excel, Part 1

      Skills you'll gain: Data Import/Export, Microsoft Excel, Data Visualization, Data Management, Excel Macros, Excel Formulas, Data Validation, Microsoft Word, Microsoft PowerPoint

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Java Programming: Solving Problems with Software

      Skills you'll gain: Debugging, Java, Algorithms, Statistical Analysis, Software Design, Computer Programming, Integrated Development Environments, Data Processing, Object Oriented Programming (OOP), Data Analysis, Software Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8K reviews

      Beginner · Course · 1 - 3 Months

    Data Visualization learners also search

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    1…414243…591

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

    • Introduction to Personal Branding: University of Virginia
    • Go Beyond the Numbers: Translate Data into Insights: Google
    • Data Storytelling with Power BI: Edureka
    • Business Analytics : Campus BBVA
    • Epidemiology in Public Health Practice: Johns Hopkins University
    • Introduction to Genomic Technologies: Johns Hopkins University
    • People Analytics: University of Pennsylvania
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Everyday Excel, Part 1: University of Colorado Boulder
    • Applied Machine Learning in Python: University of Michigan

    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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