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    Results for "data visualization"

    • Status: Free
      Free
      I

      Institut Mines-Télécom

      La Data Intelligence au service des organisations

      Skills you'll gain: Big Data, Data Analysis, Data Visualization

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Electrodynamics

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Electronic Components, Differential Equations, Physics, Engineering Analysis, Integral Calculus, Applied Mathematics, Advanced Mathematics, Mechanical Engineering, Scientific Visualization, Visualization (Computer Graphics), Engineering Calculations, Electronic Systems, Mechanics, Mathematical Modeling, Equipment Design, Calculus, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      939 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Geospatial Analysis with ArcGIS

      Skills you'll gain: ArcGIS, Data Storytelling, GIS Software, Spatial Data Analysis, Data Presentation, Geographic Information Systems, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Heat Maps, Data Visualization Software, Network Analysis, Data Manipulation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      90 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Programming with Google Go

      Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Algorithms, JSON, OS Process Management, Distributed Computing, Data Structures, Data Import/Export, System Programming, Development Environment, Software Design, Programming Principles, Remote Access Systems, Computer Programming, Operating Systems, File Management, Program Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Django for Everybody

      Skills you'll gain: Application Deployment, Django (Web Framework), Object-Relational Mapping, HTML and CSS, Model View Controller, jQuery, Ajax, Hypertext Markup Language (HTML), JSON, SQL, Databases, Application Development, Javascript, Object Oriented Programming (OOP), Web Development, Back-End Web Development, Data Modeling, Application Security, Web Applications, Web Servers

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Cómo hacer una tesis

      Skills you'll gain: Writing, Report Writing, Research Reports, Writing and Editing, Scientific Methods, Research Methodologies, Research, Research Design, Qualitative Research, Editing, Data Collection, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

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      C

      Coursera Project Network

      Small Business Marketing Using YouTube

      Skills you'll gain: Marketing Analytics, Social Media Marketing, Business Marketing, Digital Marketing, Marketing Channel, Social Media Management, Customer Engagement, Gmail, Marketing Strategy and Techniques, Target Audience, Content Creation, Customer Relationship Building

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      I

      IBM

      Developing Front-End Apps with React

      Skills you'll gain: React Redux, React.js, Front-End Web Development, JavaScript Frameworks, UI Components, Full-Stack Web Development, Web Applications, Web Development Tools, User Interface (UI), Javascript, Event-Driven Programming, Git (Version Control System), Data Structures

      4.3
      Rating, 4.3 out of 5 stars
      ·
      613 reviews

      Intermediate · Course · 1 - 4 Weeks

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      R

      Rice University

      Communication Skills for Engineers

      Skills you'll gain: Presentations, Technical Communication, Verbal Communication Skills, Executive Presence, Business Writing, Public Speaking, Infographics, Business Communication, Concision, Strategic Communication, Crisis Management, Scientific Visualization, Persuasive Communication, Interpersonal Communications, Communication, Meeting Facilitation, Electronic Media, Report Writing, Writing, Editing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      864 reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      Skills you'll gain: Descriptive Statistics, Statistics, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Data-Driven Decision-Making, Quantitative Research, Regression Analysis, Probability Distribution, Exploratory Data Analysis, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Colorado System

      Clinical Data Models and Data Quality Assessments

      Skills you'll gain: Data Management, Data Model, Clinical Data Management, Databases, Extract, Transform, Load, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      63 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      U

      University of London

      Doing Economics: Measuring Climate Change

      Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Correlation Analysis, Policy Analysis, Environmental Issue, Environmental Monitoring, Scatter Plots, Statistics, Economics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data visualization

    data visualization with tableau
    data visualization with python
    data visualization for genome biology
    data visualization with advanced excel
    data visualization in excel
    data visualization and dashboards with excel and cognos
    data visualization with r
    data visualization fundamentals
    1…798081…489

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

    • La Data Intelligence au service des organisations: Institut Mines-Télécom
    • Electrodynamics: Korea Advanced Institute of Science and Technology(KAIST)
    • Geospatial Analysis with ArcGIS : University of California, Davis
    • Programming with Google Go: University of California, Irvine
    • Django for Everybody: University of Michigan
    • Cómo hacer una tesis: Universidad Nacional Autónoma de México
    • Small Business Marketing Using YouTube: Coursera Project Network
    • Developing Front-End Apps with React: IBM
    • Communication Skills for Engineers: Rice University
    • Estadística y probabilidad: Universidad Nacional Autónoma de México

    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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