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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
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Logistic Regression, Statistical Hypothesis Testing, Model Evaluation, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    C

    Coursera

    Advanced Data Analysis and Collaboration in Qlik Sense

    Skills you'll gain: Data Storytelling, Data Visualization Software, Dashboard, Data Analysis, Advanced Analytics, Interactive Data Visualization, Analytics, Data Manipulation, Collaborative Software, Data Transformation, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    16 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    785 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Account Manager with Generative AI

    Skills you'll gain: Solution Selling, Budget Management, Account Strategy, Productivity Software, Financial Management, Consultative Selling, Administrative Support, Negotiation, Sales Process, Business Ethics, Customer Relationship Management (CRM) Software, Contract Negotiation, Key Performance Indicators (KPIs), Sales Prospecting, Account Management, Microsoft Copilot, Content Management, Relationship Building, Consultative Approaches, Generative AI

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Stakeholder Communications, Data Pipelines, Business Reporting, Data Mart, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.8K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Advanced · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Mart, Database Management, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    705 reviews

    Advanced · Course · 1 - 4 Weeks

  • Next level skills. New Year savings.

    Save on Coursera Plus
  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Data Encryption Standard, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Modeling, Advanced Mathematics, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    911 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Responsible AI, Tensorflow, PyTorch (Machine Learning Library), Internet Of Things, Real Time Data, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Telecommunications, Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Generative AI Agents, Network Performance Management, Network Architecture, Digital Communications, Network Protocols, Computer Networking, System Design and Implementation, Communication

    Advanced · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Project Operations & Automation

    Skills you'll gain: Earned Value Management, Workflow Management, Business Process Automation, Change Management, Project Management, Project Controls, Performance Measurement, Automation, Predictive Modeling, AI Enablement, Strategic Communication, Data-Driven Decision-Making, Risk Analysis, Process Improvement and Optimization, Process Optimization, Analytics, Cloud-Based Integration, Generative AI, Systems Integration, Machine Learning

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Get Started with Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Scripting, Data Manipulation, Data Visualization, Algorithms, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    571 reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

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

  • Google Advanced Data Analytics: Google
  • Advanced Data Analysis and Collaboration in Qlik Sense : Coursera
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Microsoft Account Manager with Generative AI: Microsoft
  • Google Business Intelligence: Google
  • Foundations of Data Science: Google
  • The Path to Insights: Data Models and Pipelines: Google
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • AI for Telecommunications: AI CERTs
  • Advanced Project Operations & Automation: Coursera

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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