Data Visualization
Master effective data visualization techniques using Tableau and learn principles of design for impactful data communication.
Master effective data visualization techniques using Tableau and learn principles of design for impactful data communication.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Mining Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.5
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Create effective data visualizations for different data types
Apply principles of human perception and design
Develop interactive visualization dashboards
Use Tableau for professional data visualization
Implement best practices in visual communication
Design user-friendly visualization systems
Skills you'll gain
This course includes:
6 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course teaches effective data visualization techniques for better insight and communication. Students learn fundamental principles of design and human cognition to choose optimal ways to display different types of data. The curriculum covers both theoretical concepts and practical applications using popular tools like Tableau. Topics include 2D/3D graphics, numerical and non-numerical data visualization, graph visualization, and dashboard design. Students gain hands-on experience creating interactive visualizations and learning best practices for visual communication of data.
Course Orientation
Module 1 · 1 Hours to complete
The Computer and the Human
Module 2 · 3 Hours to complete
Visualization of Numerical Data
Module 3 · 4 Hours to complete
Visualization of Non-Numerical Data
Module 4 · 3 Hours to complete
The Visualization Dashboard
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Professor of Computer Scienc
John C. Hart is a distinguished Professor of Computer Science and Associate Dean of the Graduate College at the University of Illinois Urbana-Champaign. With a Ph.D. in Electrical Engineering and Computer Science from the University of Illinois at Chicago, obtained in 1991, he has dedicated over 25 years to teaching and researching computer graphics and data visualization. His extensive research has been supported by major organizations including Adobe, DARPA, Intel, Microsoft, and NVIDIA, resulting in over 125 papers, patents, and videos.Prof. Hart is not only an accomplished researcher but also an influential educator. He has co-authored significant texts in the field, such as "Real-Time Shading," and is currently working on a new introductory computer graphics textbook with Pearson. He plays a key role in developing online education programs, notably launching the Master of Computer Science in Data Science program through Coursera, which has quickly become one of UIUC's largest graduate programs. His course "Data Visualization" has reached over 360,000 learners worldwide, showcasing his commitment to making advanced educational resources accessible to a broader audience. Through his leadership and innovative teaching methods, John C. Hart continues to shape the future of computer science education and research.
Testimonials
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4.5 course rating
1,368 ratings
Frequently asked questions
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