UC Merced -
Spring 2023

This course is an introduction to computing tools and statistical analyses used for data science in biological research. The course aims to provide UC Merced students with an integrative training for analysing large datasets used in ecological and evolutionay research. Students will learn best practices for data science, open science principles and reproducibility, while building a skillset of analytical techniques such as structuring datasets, data management systems, programming for data wrangling and visualization, and interpretation of results.

This course was adapted from the work of Data Carpentry for Biologists, Ecoinformatics, and Data Management for Biologists. It is designed as a flipped course for undergraduate students, and it can be useful for self-guided learners. Instructors are welcome to modify and use the material for their own courses. We encourage collaborative development and contributions by instructors and students, with the hopes that this will lead to better training and resources for everyone.