STAT 451 - Introduction to Data Visualization

Units: 3
Methods used in data visualization and interactive data exploration. Topics include importing, exporting and data merging, visualization of quantitative and qualitative data, effective graphs and charts, interactive maps, elements of visual perception, and meaningful visual representations of complex statistics.

Prerequisites: STAT 303 or STAT 310 or STAT 316 or STAT 330.
Possible Instructional Methods: On-ground, or Hybrid, or Online-Asynchronous, or Online-Synchronous.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Fall ONLY

Student Learning Outcomes - Upon successful completion of this course students will be able to:
• Understand the importance of data visualization for communicating data driven findings.

• Create bar charts, scatter plots, box plots, histograms as a key component of exploratory data analysis.

• Use the R package ggplot2.

• Gain experience in using real data from world health, economics and infectious disease.