We may earn an affiliate commission when you visit our partners.

Data Visualization Techniques

Save
Coming soon We're preparing course recommendations and better information about Data Visualization Techniques. Check back soon for more details.

Path to Data Visualization Techniques

Take the first step.
We've curated one courses to help you on your path to Data Visualization Techniques. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Data Visualization Techniques: by sharing it with your friends and followers:

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Visualization Techniques.
This classic work by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the basics of chart design to the principles of effective visual communication.
Provides a comprehensive overview of data visualization techniques, covering both the theoretical foundations and practical applications. It is suitable for both beginners and experienced data visualization practitioners.
Provides a comprehensive introduction to the Power BI software for data visualization. It covers everything from the basics of Power BI to advanced techniques for creating complex and sophisticated visualizations.
Comprehensive guide to the ggplot2 package for data visualization. It covers everything from the basics ofggplot2to advanced techniques for creating complex and sophisticated visualizations.
Provides a comprehensive introduction to the D3.js library for data visualization. It covers everything from the basics of D3.js to advanced techniques for creating complex and sophisticated visualizations.
Provides a comprehensive introduction to the R programming language for data science. It covers a wide range of topics, including data visualization, data manipulation, and statistical modeling.
Provides a comprehensive introduction to the Processing programming language for data visualization. It covers everything from the basics of Processing to advanced techniques for creating complex and sophisticated visualizations.
Provides a comprehensive introduction to the Chartist.js library for data visualization. It covers everything from the basics of Chartist.js to advanced techniques for creating complex and sophisticated visualizations.
Provides a comprehensive introduction to the Plotly library for data visualization. It covers everything from the basics of Plotly to advanced techniques for creating complex and sophisticated visualizations.
Provides a comprehensive introduction to the Python programming language for data analysis. It covers a wide range of topics, including data visualization, data manipulation, and statistical modeling.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser