Class Schedule

• Description: Introduction to the effective processing and communication of data. Topics include identifying the key techniques and theory used in data visualization, creating and designing static and interactive visualizations using data, and communicating insight through data visualization to an intended audience. Students will use a data visualization package, such as R, Tableau, or MatPlotLib in Python.
• Prerequisite:
• Corequisite:
• Advisory: Advisory: MATH 10, MATH 17, PSYC 7 or SOC 7.
• Repeatability: Not Repeatable.
• Hours: 4 hours lecture per week, 2 hours lab per week. 72 hours total per quarter.
• Foothill GE Area:
• Transferability: Both
• Transfer GE: Information regarding how this course is applied toward CSU GE/Breadth or IGETC certification is available at:
• Foothill Transfer GE Guide

Department Note: