Information Visualization Specialization by NYU (Coursera)

New York University offers this Information Visualization program through Coursera with the goal of providing learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis. It is the graduate-level equivalent of the Information Visualization course taught at NYU Tandon School of Engineering. This specialization has no prerequisites and consists of four courses: foundations, applied perception, programming with D3.js, and advanced visualization approaches. The following subjects are covered in these courses:


  • Overview of what visualization is and its scope and goals
  • Recognizing type of information in data so that you can find appropriate visual representations
  • Fundamental graphs such as bar charts, line charts and scatter plots
  • Concept of visual encoding and decoding
  • Fundamental concepts of visual perception applied to visualization design
  • How to use D3.js to create powerful visualizations for web
  • How to create choropleth and symbol maps, node-link diagrams and tree maps
  • How to link two or more views through interaction
  • How to visualize specific kinds of data (beyond tabular)
  • Geographical, temporal and network visualization
  • How to create highly interactive multiple-view visualizations

Exercises and practice assignments are included in all courses. Some projects call for students to create and build a full interactive visualization using real-world data sets. Three interviews are also featured, which provide students with direct experience tales from practitioners and researchers.


Key Highlights

  • Opportunity to take a university level graduate course in visualization
  • Provides a strong understanding of visual perception and visual encoding to enable learners to design and evaluate innovative visualization methods on their own
  • Develop advanced web-based applications for visual data analysis
  • Learn what designs are available for a given problem and what are their respective advantages and disadvantages
  • Interviews with great researchers and practitioners in the field
  • Hands-on projects that enable students to demonstrate mastery of the subject

Duration : 4 months, 3 hours per week

Coursera Rating : 4.6/5.0

Enroll here: coursera.org/specializations/information-visualization

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