A basic premise of visualization is that visual information can be processed at a much higher rate than raw numbers and text.

Learn more about your program of interest and apply.    Fridays:          12pm - 4pm. Assistance with projects of commercial nature or those involving classified information, non-disclosure agreements, related to or likely to be involved in litigation, etc. Earn academic credit while gaining industry experience.

Core courses provide an in-depth exploration of the liberal arts that expands your critical thinking and analytical skills, increases your knowledge, and develops your intellect. TOEFL scores are required for applicants who did not complete an undergraduate degree in the United States or in a country where the only primary language is not English. His research broadly reconstructs early modern understandings of visual thinking in early modern terms, examining both how and why some people advocated for the use of new visualization formats while others regarded the same with deep suspicion. However, our consultants are also available on a walk-in basis (see schedule). In consultation with their advisor and based on their special areas of interest, students select an additional 12 units from the marketing, information technology, and digital media courses from McGhee's Bachelor of Science programs. Each term, a project course with a particular theme is offered by the Department of Computer and Information Science. With its foundations rooted in statistics, psychology, and computer science, practitioners in almost every field use visualization … New York, NY 10012-9604 We can also provide guidance on selecting an appropriate tool for your task as well as locate documentation and further resources. Electives in Applied Data Analytics and Visualization. "https://" : "http://") + "libraryh3lp.com/js/libraryh3lp.js?16338";
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 })(); This is a collection of resources about creating visualizations, design principles behind them, tools that can be used to create them, and blogs featuring visualizations that can inspire you to create your own. In information visualization research, to be considered effective, a visualization typically needs to support data comprehension. Creation of visualizations on your behalf. You may also send us your questions via email at data.services@nyu.edu.
BS in Applied Data Analytics and Visualization (STEM), EXWR1-UC7501 Introduction to Creative and Expository Writing, MATH1-UC1174 Calculus W/Applications to Business & Economics, SCNC1-UC3203 Environmental Sustainability, SCNC1-UC3215 Biology of Hunger & Population, ANTH1-UC5014 World Cultures: Latin America & The Caribbean, ARTH1-UC5443 Visual Expressions in Society, LITR1-UC6209 Oral Traditions in Literature, ISMM1-UC0731 Introduction to Cloud Computing, MKAN1-UC5100 Cultural and Legal Implications of Digital Technology, ADAV1-UC1010 Designing Data: Infographics, ADAV1-UC7990 Special Topics in Applied Data Analytics and Visualization, NYU Facebook profile (Opens in a new tab), Academic preparedness suggestive of success at the baccalaureate level, Rationale for desire to pursue selected academic subject of study, Personal attributes that predict readiness for advanced college-level work (e.g., motivation to learn, time management, personal responsibility, maturity), Self-reflection on work or life experiences that shape one’s educational and career goals, Leadership skill or potential demonstrated through community service, volunteer positions or other activities. Visualization and visual analytics systems help people explore and explain data by allowing the creation of both static and interactive visual representations. To contact us, submit a request or email data.services@nyu.edu. We can assist you with issues that you may encounter with respect to preparing data for visualization (importing, merging, and cleaning data) and provide feedback regarding design. Students select one of the following courses.

Our role is to assist you with your data visualization, rather than to create visualizations for you. With the advent of visualization tools that do not require coding, data storytelling in the digital age is also an attainable skill set for people with varying levels of technical ability.