INTD1131A-W17
Visual Data Analysis
Visual Data Analysis
“The greatest value of a picture is when it forces us to notice what we never expected to see” (John W. Tukey, American statistician). In this course we will focus on scientific data visualization, a powerful complement to statistical analysis. Using datasets from various fields, as well as students' choice, we will learn principles for processing and visualizing data. Throughout, we will use R, the premier programming language for data visualization and analysis. No previous knowledge of programming is assumed, but by course's end students will write powerful scripts to analyze and present data in a clear and compelling way. (Pass/Fail)
“The greatest value of a picture is when it forces us to notice what we never expected to see” (John W. Tukey, American statistician). In this course we will focus on scientific data visualization, a powerful complement to statistical analysis. Using datasets from various fields, as well as students' choice, we will learn principles for processing and visualizing data. Throughout, we will use R, the premier programming language for data visualization and analysis. No previous knowledge of programming is assumed, but by course's end students will write powerful scripts to analyze and present data in a clear and compelling way. (Pass/Fail)
- Term:
- Winter 2017
- Location:
- McCardell Bicentennial Hall 464(MBH 464)
- Schedule:
- 10:30am-12:30pm on Monday, Tuesday, Wednesday, Thursday (Jan 9, 2017 to Feb 3, 2017)
- Type:
- Lecture
- Instructors:
- Richard Landis
- Subject:
- Interdepartmental
- Department:
- Interdepartmental
- Division:
- Interdisciplinary
- Requirements Fulfilled:
- non-standard grade WTR
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 11297
- Subject Code:
- INTD
- Course Number:
- 1131
- Section Identifier:
- A