ONLINE COURSE: MULTIVARIATE ECOLOGICAL COMMUNITY ANALYSIS I

[jeff.stetz]

COURSE DESCRIPTION - Prepare yourself for a career applying and/or interpreting ‘multivariate’ analysis methods, which are used on datasets with multiple response variables (such as many different species, traits, habitat conditions, genomic information, etc.). This course helps you identify the ecological and statistical properties of multivariate responses, demonstrates how to summarize and graph data to reveal those properties, explains which distance measures will do the best job capturing the patterns among your responses, discusses the consequences of modifying or failing to modify data when needed, introduces the most common multivariate analyses applicable to ecological datasets, describes ordination and how to interpret ordination diagrams, and takes you through a ten-step process for performing, interpreting, and communicating defensible analyses for five different types of guided ordination (WA, PO, CCA, RDA, and FSO). MECA I is the first part in a two-part series (MECA II builds upon MECA I to cover an additional 18 free ordination, classification, group testing, association assessment, and trait analysis tools).

This is a 1-credit equivalent academic course (16 contact hrs + additional work) where you learn at your own pace over 3 months.

DATES
March 3 - May 25, 2025

COST
Early bird ends February 2 - save $75!
No instructor support options start at $375 professional / $275 student
Instructor support options start at $525 professional / $425 student

LEARN MORE & REGISTER
https://www.centerforwildlifestudies.or ... s/p/meca-i

CWS also offers a professional certificate in Applied Quantitative Ecology.

All courses in this program are graduate level and are designed for full-time researchers, graduate students, environmental consultants, conservation specialists, and resource management practitioners. Taught by leading experts in their fields, participants will learn job-ready skills, including how to properly design field studies and controlled experiments, organize and visualize data, and become proficient in a variety of statistical analyses and modeling techniques to answer important environmental questions.

To learn more and apply, please visit: https://www.centerforwildlifestudies.or ... ve-ecology

CENTER FOR WILDLIFE STUDIES is a 501(c)(3) non-profit organization whose global mission is to provide accessible environmental education and promote wildlife conservation through science.