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Data Visualization Courses

Data visualization courses can help you learn how to create compelling charts, graphs, and dashboards, along with understanding data storytelling and visual design principles. You can build skills in interpreting data trends, selecting appropriate visual formats, and conveying insights effectively to diverse audiences. Many courses introduce tools like Tableau, Power BI, and D3.js, that support transforming raw data into visual narratives and making data-driven decisions in various fields.

Popular Data Visualization Courses and Certifications

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface (UI), Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.1K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Full-Stack Web Development

    Skills you'll gain: Responsive Web Design, Cascading Style Sheets (CSS), JSON, HTML and CSS, Ajax, Web Content Accessibility Guidelines, Javascript, Web Design, Semantic Web, Usability, Web Applications, Web Development, Web Content, Usability Testing, Interactive Design, Data Structures, Application Frameworks, Network Protocols, Data Ethics, Animations

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta React Native

    Skills you'll gain: React Native, Jest (JavaScript Testing Framework), Version Control, User Research, Usability Testing, Unix Commands, Restful API, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, SQL, User Interface (UI), User Experience, Mobile Development, Design Research, React.js, Web Development Tools, Javascript

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta iOS Developer

    Skills you'll gain: React Native, iOS Development, Core Data (Software), Restful API, Version Control, Apple iOS, User Research, Usability Testing, Apple Xcode, Data Structures, Swift Programming, Jest (JavaScript Testing Framework), User Interface (UI), Unix Commands, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, Mobile Development, Javascript

    Build toward a degree

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

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Java Programming and Software Engineering Fundamentals

    Skills you'll gain: File I/O, Java Programming, Software Design, Debugging, Software Engineering, Javascript, Computer Programming, Event-Driven Programming, Encryption, Algorithms, Image Analysis, AI Personalization, Program Development, Data Processing, Statistical Analysis, Data Import/Export, Predictive Modeling, Integrated Development Environments, Data Analysis, Cascading Style Sheets (CSS)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    React Basics

    Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta React

    Skills you'll gain: Jest (JavaScript Testing Framework), React.js, Web Development Tools, Web Applications, Event-Driven Programming, JavaScript Frameworks, Application Programming Interface (API), Application Development, UI Components, Unit Testing, Front-End Web Development, Software Design Patterns, Context Management, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Debugging

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Responsive Website Development and Design

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, jQuery, Web Design and Development, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), User Experience Design, User Accounts, MongoDB, Wireframing, Web Applications, Full-Stack Web Development, Interactive Data Visualization, Application Design, JavaScript Frameworks, Web Development Tools, Javascript

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Become a Professional React Developer

    Skills you'll gain: React.js, Routing Protocols, UI Components, JavaScript Frameworks, Frontend Performance, Front-End Web Development, Performance Tuning, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Event-Driven Programming, User Experience Design, User Interface (UI), Jest (JavaScript Testing Framework), Web Development Tools, Interaction Design, Debugging, Javascript, Application Performance Management, Web Frameworks, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    255 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Data-driven websites: JSON, APIs and Templates

    Skills you'll gain: JSON, Restful API, Ajax, Javascript, Web Development Tools, Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), Data Structures

    Intermediate · Course · 1 - 4 Weeks

Searches related to data visualization

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1234…20

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

  • Data Structures and Algorithms: University of California San Diego
  • Meta Android Developer: Meta
  • Meta Front-End Developer: Meta
  • Full-Stack Web Development: University of London
  • Meta React Native: Meta
  • Meta iOS Developer: Meta
  • Java Programming and Software Engineering Fundamentals: Duke University
  • React Basics: Meta
  • Meta React: Meta
  • Responsive Website Development and Design: University of London

Frequently Asked Questions about Data Visualization

Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. It is important because it transforms complex data sets into visual formats that are easier to comprehend, enabling better decision-making. In a world where data is abundant, effective visualization helps communicate insights clearly and efficiently, making it a crucial skill in various fields.‎

A variety of job opportunities exist in the field of data visualization. Roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, and Visualization Specialist are common. These positions often require the ability to interpret data and present it visually to stakeholders. Additionally, professionals in marketing, finance, and healthcare increasingly rely on data visualization to convey insights and support strategic decisions. As organizations continue to prioritize data-driven decision-making, the demand for skilled data visualization practitioners is likely to grow.‎

To excel in data visualization, you should develop a mix of technical and analytical skills. Proficiency in data visualization tools such as Tableau, Power BI, or programming languages like Python and R is essential. Understanding data analysis concepts, statistics, and storytelling techniques will enhance your ability to present data effectively. Additionally, having a good eye for design and familiarity with user experience principles can help create more engaging visualizations. Continuous practice and learning will further strengthen these skills.‎

There are numerous online courses available for learning data visualization. Some highly regarded options include the Data Visualization with Tableau Specialization, which teaches how to create impactful visualizations using Tableau, and the Data Visualization: Fundamentals to Interactive Storytelling Specialization, focusing on the principles of effective storytelling through data. These courses cater to various skill levels and can help you build a strong foundation in data visualization.‎

Yes. You can start learning data visualization on Coursera for free in two ways:

  1. Preview the first module of many data visualization courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data visualization, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data visualization effectively, start by identifying your learning goals and the specific tools or techniques you want to build proficiency in. Enroll in online courses that match your interests and skill level. Practice regularly by working on real-world projects or datasets to apply what you learn. Engage with online communities or forums to share your work and receive feedback. Additionally, reading books and articles on data visualization can provide deeper insights and inspire your creativity.‎

Typical topics covered in data visualization courses include data types and structures, visualization principles, tools and software (like Tableau and Excel), and techniques for creating various types of charts and graphs. Courses often emphasize the importance of storytelling with data, data cleaning and preparation, and best practices for designing effective visualizations. Advanced topics may include interactive visualizations and dashboard creation, providing a comprehensive understanding of the field.‎

For training and upskilling employees in data visualization, courses like the Microsoft Data Visualization Professional Certificate and the Data Analysis and Visualization Foundations Specialization are excellent choices. These programs are designed to equip learners with practical skills and knowledge that can be directly applied in the workplace, fostering a data-driven culture within organizations.‎

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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