Topics in Biology (345-0-5)

Topic

Data Science and Visualization

Instructors

Gordon Smith

Meeting Info

Technological Institute LG52: Mon, Wed 2:00PM - 3:50PM

Overview of class

In this course we will explore the fundamentals and best practices in data science using the open-source tool R, building a foundation in the necessary coding and statistical analysis skills required to examine data of all types. While this class is designed to serve as an introduction to these topics for biologists and environmental scientists, the foundations and applications taught are intended to be relevant to students with more experience as well. Class activities will include a mix of lectures, hands-on coding assignments, and independent projects using data applicable to students' interests.

Learning Objectives

After participating in this course, you will be able to:

1) Explore, manage, and wrangle data of different structures using the R programming language
2) Select, apply and interpret appropriate statistical tests to answer environmental questions
3) Display statistical results using data visualization best practices and communicate these results to scientific audiences

Class Materials (Required)

N/A - all materials will be posted to Canvas

Class Attributes

Prerequisites apply, see description
SoC Additional Distro

Enrollment Requirements

Enrollment Requirements: Prerequisites: Students must have completed BIOL_SCI 202-0 or BIOL_SCI 240-0, BIOL_SCI 203-0 or BIOL_SCI 241-0, and BIOL_SCI 234-0 to register for this course.