ADIT2250 · Advancing Studies
ADV
In today's information age with ever pressing demand for data skills, data visualization becomes a critical component of data science. By utilizing visual presentations, data visualization achieves an effective way of communicating insights from data, identifying hidden data patterns and trends, and telling the full story behind data. In this course, students are introduced to the foundations of data visualization along with various data visualization tools. We will introduce the key design principles, how to present data using a number of common data visualization tools (such as Excel and Tableau software). This course will provide students from all backgrounds the opportunity to learn data skills and have hands-on experience working with various datasets, creating visualizations and telling data stories. Students will develop data visualization skills that can be applied to their fields of study and future career. Topics covered include best practices in use of color, visualization principles, static and interactive visualizations, visualization types, and others.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.3 / 5
How well the course was organized
Challenge
4.5 / 5
How intellectually challenging students found it
Attendance
4.3 / 5
How necessary attendance was
Assignments
4.7 / 5
How helpful assignments were
Weekly effort
~5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 section