Cristian Felix is a Ph.D. Candidate in the Computer Science and Engineering department at NYU Tandon School of Engineering. He has assisted in courses on visualization for the last 4 years. Before his Ph.D., Felix worked in the industry for 12 years working with networks, databases and software development. Felix research focuses on the creation of visual systems that allow users to explore large text collections through interactive visualizations. He has publications in top visualization conferences and also was the winner of the VisualizeChange challenge promoted by United Nations.
Coursera
Discover the art and science behind Information Visualization: Applied Perception. This course delves into the core concepts of visual perception and how they can be applied to create compelling and effective data visualizations. Perfect for designers, analysts, and anyone looking to enhance their ability to communicate complex information clearly and efficiently.
Coursera
Discover the power of visual storytelling in data through our Information Visualization: Foundations course. Gain a strong foundation, learn to design compelling visualizations, and enhance your ability to analyze complex datasets effectively.
Coursera
Discover the power of D3.js to transform raw data into compelling visual stories. In this comprehensive online course, learners will delve into the world of information visualization by mastering the versatile D3.js library. Whether you're a developer looking to enhance your web projects or a data enthusiast eager to communicate complex ideas effectively, this course offers the tools and techniques needed to create dynamic and interactive data visualizations.
Coursera
Expand your knowledge in information visualization by diving into advanced techniques. This comprehensive online course will teach you how to effectively represent complex datasets such as temporal, spatial, networks, trees, and text through innovative visualizations. Learn from expert instructors and harness the power of D3.js to create compelling data stories.