Instructor: Dr. Sara J.S. Wuitchik
Overview: The aim of this course is to provide a practical introduction to the best practices in data analyses, experimental design, and scientific inference for applied questions in marine biology. You will be introduced to both the quantitative aspect of biological sciences as well as practical coding implementations in the statistical programming language, R. Topics covered will include (but are not limited to) data management, visualization, programming, statistical analyses, and reproducible data science. These topics, particularly the statistical analyses, will be adapted to be directly applicable to the Directed Studies projects proposed and undertaken by the students, as well as special interest topics that the students may want to cover. In all aspects of the course, reproducible and open science will be discussed, with recommendtions and best practices integrated into projects.
Textbook: There is no required textbook for this course, but there will be many resources available for both coding and statistical analyses on reserve at the BMSC Library for your reference
University of Victoria:
MRNE 475 – Applied Data Analysis in Marine Science
CRN #TBA
University of Calgary:
MRSC 513 – Applied Data Analysis in Marine Science
You will be registered by your department
University of Alberta:
MA SC 475 – Applied Data Analysis in Marine Science
You will be registered by your department
University of British Columbia
MRNE 480 – Seminars & Papers in Marine Science
You will be registered by your department
Simon Fraser University
MASC 436-3 – Applied Data Analysis in Marine Science
You will be registered by your department