Statistics 633 - Data Visualization

The increasing production of descriptive data sets and corresponding software packages has created a need for data visualization methods for many application areas. Data visualization allows for informing results and presenting findings in a structured way. This course provides an introduction to graphical data analysis and data visualization. Topics covered include exploratory data analysis, data cleaning, examining features of data structures, detecting unusual data patterns, and determining trends. The course will also introduce methods to choose specific types of graphics tools and understanding information provided by graphs. The statistical programming language R is used for the course.

Open to Graduate students only. This class meets on the Newton Campus of UMass-Amherst. This course may be taken remotely. Please enroll and contact the instructor if you would like to take the course remotely.

Undergraduates may enroll with permission of instructor