IS 445 Data Visualization

Data visualization is crucial to conveying information drawn from models, observations or investigations. This course will provide an overview of historical and modern techniques for visualizing data, drawing on quantitative, statistical, and network-focused datasets. Topics will include construction of communicative visualizations, the modern software ecosystem of visualization, and techniques for aggregation and interpretation of data through visualization.Particular attention will be paid to the Python ecosystem and multi-dimensional quantitative datasets.

Previously IS590DV.

Recent syllabus

Scheduled Offerings

  • Fall 2020

    • IS445BOG - Data Visualization
      Tue/Thu, 9:30 am - 10:50 am
      Online
      Graduate student questions may be sent to ischool-advising@illinois.edu
      Instructor
      Matthew Turk
      CRN
      73217
      Length
      16 weeks
      Credit hours
      4
    • IS445BOU - Data Visualization
      Tue/Thu, 9:30 am - 10:50 am
      Online
      Restricted to Undergraduates with Junior standing or above. Restricted to Information Sciences majors until one week before classes begin (by noon 8/17/2020). Undergraduate questions may be sent to ischool-is@illinois.edu
      Instructor
      Matthew Turk
      CRN
      73218
      Length
      16 weeks
      Credit hours
      3
    • IS445AOG - Data Visualization
      Mon, 6:00 pm - 8:00 pm
      Online
      Graduate student questions may be sent to ischool-advising@illinois.edu
      Instructor
      Jill Naiman
      CRN
      73220
      Length
      16 weeks
      Credit hours
      4
  • Spring 2020

    • IS590DV - Data Visualization
      Mon, 9:00 am - 11:50 am
      Ceramics Building 218
      On-Campus
      Instructor
      Jill Naiman
      CRN
      67973
      Length
      16 weeks
      Credit hours
      4

Textbooks and Course Materials

Available from the Illinois Union Bookstore (IUB).