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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

    • I

      IBM

      Data Visualization and Dashboards with Excel and Cognos

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Dashboard, IBM Cognos Analytics, Tree Maps, Scatter Plots, Data Analysis, Pivot Tables And Charts, Microsoft Excel, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Data Visualization in Excel

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Microsoft Excel, Excel Macros, Infographics, Excel Formulas, Data Analysis, Data Manipulation, Forecasting

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

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Data Visualization & Dashboarding with R

      Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Data Visualization Software, Interactive Data Visualization, R Programming, Geospatial Information and Technology, Statistical Reporting, Plotly, Statistical Visualization, Data Storytelling, Heat Maps, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      421 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      B

      Ball State University

      Data Visualization

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Data Visualization Software, Ggplot2, Interactive Data Visualization, Statistical Visualization, Visualization (Computer Graphics), R Programming, Data Storytelling, Histogram, Scatter Plots, Data Analysis

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Introduction to Data Visualization in Qlik Sense

      Skills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Visualization Software, Interactive Data Visualization, Business Intelligence, Data Storytelling, Data Presentation, Dashboard

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Data Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Presentation, Tree Maps, Heat Maps, Pivot Tables And Charts, Data Manipulation, Scatter Plots, Histogram, Data Mapping, Trend Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      110 reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: [object Object]
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      140K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      C

      Coursera Project Network

      Data Visualization using Plotly

      Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization Software, Statistical Visualization, Interactive Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      42 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      M

      Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Presentation, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Data Visualization, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Validation, Data Warehousing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Placeholder
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Placeholder
      B

      Board Infinity

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Transformation, Exploratory Data Analysis, Scatter Plots, Heat Maps, Histogram

      3.7
      Rating, 3.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: [object Object]
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Wrangling, Data Visualization, SQL, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

    • Data Visualization and Dashboards with Excel and Cognos: IBM
    • Data Visualization in Excel: Macquarie University
    • Data Visualization & Dashboarding with R: Johns Hopkins University
    • Data Visualization: Ball State University
    • Introduction to Data Visualization in Qlik Sense: Coursera Instructor Network
    • Data Visualization with Tableau: Tableau Learning Partner
    • IBM Data Science: IBM
    • Data Visualization using Plotly: Coursera Project Network
    • Excel Skills for Data Analytics and Visualization: Macquarie University
    • IBM Data Analytics with Excel and R: 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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