Free Online Data Visualization Courses and Certifications 2024

Data Visualization is an important part of Data Science, which is the top category of knowledge and learning. It is the process of transforming data into graphical forms, such as charts, diagrams, and maps, to help people understand and interpret the data more easily. Online courses are available to help people learn the fundamentals of Data Visualization and how to use it to gain insights from data.

Data Visualization Courses

Career Trends


Career Prospects

Average Salary

Position Overview

Senior Principal Scientist$180,720 per year

Senior Principal Scientists are responsible for providing strategic guidance and direction. They oversee the work of other scientists and take the lead on QP2 initiatives related to drug development programs and business development efforts.

Software Engineer $170,873 per year

Software engineers utilize their knowledge of engineering principles and programming languages to create software solutions for end-users.

Data Visualization$159,688 per year

A data visualization developer is an individual who specializes in creating graphical representations of data. Their main duties involve producing visual representations of textual data that highlight patterns, trends, or correlations between various data points.

Data Visualization Consultant$ per year

As a Data Visualization Consultant, you collaborate with clients to develop impactful and interactive visualizations using diverse data sets. You plan, analyze, and design technology solutions that align with clients' business objectives. You also create business requirements that drive functional needs for reporting and performance management applications.


Educational Paths


1. Online Courses: There are numerous online courses available that teach data visualization techniques using popular tools like Tableau, Power BI, and Python libraries like Matplotlib and Seaborn. Many of these courses offer hands-on exercises, projects, and quizzes to reinforce learning.

2. Data Visualization Blogs: Following data visualization blogs like Information is Beautiful, Flowing Data, and Datawrapper Blog can expose you to new ideas, techniques, and best practices in data visualization. These blogs also feature tutorials, case studies, and examples of effective data visualization.

3. Data Visualization Books: Reading books on data visualization like "Storytelling with Data" by Cole Nussbaumer Knaflic, "The Visual Display of Quantitative Information" by Edward Tufte, and "Data Visualization Made Simple" by Kristen Sosulski can provide a deeper understanding of data visualization concepts and techniques.

4. Data Visualization Certifications: Professional organizations like Tableau and DataCamp offer certification programs that test your proficiency in data visualization. These certifications are recognized in the industry and can boost your credibility as a data visualization expert.

5. Practice with Real Data: Finally, practicing data visualization with real data sets can help you refine your skills and improve your understanding of the techniques. There are many public data sets available that you can use to create your own visualizations or try to recreate visualizations from other sources.

Frequently Asked Questions and Answers

Q1: What is the level of difficulty in learning data visualization?

Learning data visualization can be quite straightforward if you have the right resources. Start by reading up on data visualization blogs for examples, inspiration, and educational resources. Then, dive deeper into the theory and practice of data visualization by reading books on the subject. Finally, take advantage of the many free courses and paid training programs available to help you master the art of data visualization.

Q2: What are the best ways to learn data visualization?

Learning data visualization can be a daunting task, but there are plenty of resources available to help. Visualisingdata's resource paper provides a comprehensive list of books and tools to get started. Fellinlovewithdata's Data Visualization Beginner's Toolkit is another great resource, offering books and tools to help you get started. Additionally, Making a Map Together and Perfecting a Visualization from the Guardian's Data Blog are great resources for learning the basics. Finally, Ben Shneiderman's Visual Information Seeking Mantra and Lakoff's Metaphors We Live By provide an overview of the fundamentals and metaphors to use in visualizations, respectively. With these resources, you can get started on your journey to mastering data visualization.

Q3: What does it mean to practice professional-level data visualization?

Practicing professional data visualization means utilizing data visualization techniques to effectively communicate complex information. It involves creating visualizations that are both aesthetically pleasing and informative, as well as providing meaningful insights. This means going beyond simple dashboards and charts, and embracing expository data visualization to provide a more comprehensive understanding of the data. Additionally, it means providing data visualization practitioners with the opportunity to develop their skills and advance their careers.

Q4: What Data Visualization courses can I find on AZ Class?

On this page, we have collected free or certified 8309 Data Visualization online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.

Q5: Can I learn Data Visualization for free?

Yes, If you don’t know Data Visualization, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!

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