Fundamentals of Data Visualization
Master the art of data visualization with Python's Altair library and learn user-centered design principles for effective data communication.
Master the art of data visualization with Python's Altair library and learn user-centered design principles for effective 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 Vital Skills for Data Science 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.
4.8
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What you'll learn
Develop effective data visualization strategies
Create interactive visualizations using Altair
Apply user-centered design principles
Evaluate visualization effectiveness
Implement data-driven visual narratives
Skills you'll gain
This course includes:
5.75 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course explores the design, development, and evaluation of information visualizations. Students learn to combine design principles, computer graphics, HCI, and data science to create effective visualizations. The curriculum covers user-centered design, web-based visualization tools, data cognition and perception, and evaluation methods. Through hands-on experience with Altair, students develop practical skills in creating interactive visualizations and data narratives.
Basics of Design
Module 1 · 7 Hours to complete
User Needs
Module 2 · 3 Hours to complete
Evaluation
Module 3 · 3 Hours to complete
Fee Structure
Instructor
Assistant Professor
Danielle Albers Szafir is an Assistant Professor in the Department of Computer Science and a Fellow at the ATLAS Institute at the University of Colorado Boulder. She also holds an affiliate position in the founding faculty of the Department of Information Science and is a Fellow in the Institute of Cognitive Science. Her research lies at the intersection of information visualization, data science, and cognitive science, focusing on enhancing how complex data is represented and understood. Dr. Szafir's work has been integrated into prominent tools like D3 and Tableau, earning her recognition with best paper awards at prestigious conferences such as IEEE VIS and IS&T Color and Imaging. In 2018, she was named to Forbes' 30 Under 30 list for Science.Dr. Szafir earned her B.S. in Computer Science from the University of Washington as a NASA Space Grant Scholar and completed her Ph.D. in Computer Sciences at the University of Wisconsin-Madison. Her research has received funding from organizations such as the NSF, US Air Force, and DHHS. She teaches courses including "Fundamentals of Data Visualization," where she equips students with essential skills for effective data representation. Through her innovative research and teaching, Danielle Szafir continues to advance the field of data visualization, making significant contributions to both academia and industry
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4.8 course rating
28 ratings
Frequently asked questions
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