Special Topics in Environmental Sciences (390-0-23)

Topic

Data Analysis and Visualization for Scientists

Instructors

Paul James Caradonna

Meeting Info

Technological Institute F281: Tues, Thurs 9:30AM - 10:50AM

Overview of class

Course Description: This class is designed to be a practical guide to quantitative analysis and data visualization, particularly for the scientific fields of ecology, evolution, and conservation. We will learn about, put to use, and practice a wide range of data science methods that are commonly used in these fields. The class is designed to be a hands-on learning experience using the open source programming language, R. No experience in R is required. We will begin with data manipulation and wrangling, and then move on to common quantitative analyses, their variations, and how best to visualize data. By the end of the class, students will have the skills and confidence to address a wide variety of questions with quantitative methods.

Class Materials (Required)

No textbook is required for this course.