Introduction to Ecological Statistics and Modeling

from $275.00

Dates:
Participant:
Course Formats (see details below):

 
  • Learn a variety of essential quantitative skills in R to be successful in analyzing, presenting, and publishing your research findings. The examples used during the course are tailored to the needs of students, researchers, and professionals in ecology-and wildlife-related disciplines.

  • Learn at your your own pace with or without instructor support (see Online Course Format Chart below for details).

    Fall: September 2 - November 23, 2025 (Early bird ends August 3rd)

    Winter: December 1, 2025 – February 22, 2026 (Early bird ends November 2nd)

    *Early bird saves $75

  • Basic statistics and introductory R training (e.g., R Boot Camp for Ecologists and Wildlife Biologists).

  • Module 1: R Boot Camp (Refresher)

    • Import and tidy datasets effectively in R. 

    • Transform and mutate datasets to meet analytical needs. 

    • Combine and visualize datasets clearly using R graphics and visualization libraries. 

    Module 2: Normal Populations

    • Apply the Central Limit Theorem to determine sampling distributions. 

    • Calculate confidence intervals and p-values for statistical analyses.

    • Conduct one- and two-sample t-tests to statistically compare populations.

    • Interpret statistical outputs clearly and accurately. 

    Module 3: Nonparametric Tests

    • Perform loops in R

    • Conduct permutation tests

    • Demonstrate the ability to conduct hypothesis testing and compare groups using nonparametric tests

    • Explain the difference between sampling with and without replacement

    Module 4: Simple Linear Regression

    • Measure correlation between variables

    • Demonstrate the ability to carry out simple linear regression

    • Interpret regression outputs for continuous predictors

    Module 5: Multiple Regression

    • Include categorical predictors in linear modeling

    • Interpret regression outputs for continuous & categorical predictors

    • Demonstrate the ability to carry out multiple linear regression using a variety of datasets

    Module 6: ANOVA

    • Explain when to use ANOVA instead of other parametric tests

    • Demonstrate the ability to run ANOVA in R and interpret the output

    Module 7: Model Selection

    • Diagnose and address multicollinearity

    • Compare competing models

    • Combine information from more than one model

COURSE OPTIONS & INFORMATION (Review chart above, then click below)

  • FORMAT:

    • 3 months of access to course materials as you work at your own pace 

    CONTINUING EDUCATION:

    • 16 CEUs with The Wildlife Society

    • 4 CEUs in Category I(a): Scientific Education and Training with the Ecological Society of America

    • Go to our Continuing Education Page for more details

  • FORMAT:

    • 3 months of access to course materials as you work at your own pace 

    • Get instructor support for the 3-month term via email, discussion threads, group meetings, and one-on-one appointments

    • After working through the course materials, set up an optional meeting with the instructor to discuss your own personal project from work or school

    CONTINUING EDUCATION:

    • 16 CEUs with The Wildlife Society

    • 4 CEUs in Category I(a): Scientific Education and Training with the Ecological Society of America

    • Go to our Continuing Education Page for more details

    CERTIFICATIONS:

  • FORMAT:

    • 12 months of access to course materials as you work at your own pace 

    • Get instructor support for the 3-month term via email, discussion threads, group meetings, and one-on-one appointments

    • After working through the course materials, set up an optional meeting with the instructor to discuss your own personal project from work or school

    CONTINUING EDUCATION:

    • 16 CEUs with The Wildlife Society

    • 4 CEUs in Category I(a): Scientific Education and Training with the Ecological Society of America

    • Go to our Continuing Education Page for more details

    CERTIFICATIONS:

    ACADEMIC CREDIT:

INSTRUCTOR

PROMOTIONAL VIDEO

 
TESTIMONIALS

This is a great course for those who are intimidated to learn R—the web format gives flexibility to go at your own pace, and there’s fantastic support when you need some extra explanations.”

Valerie Eviner

Professor of Ecosystem Management and Restoration, UC Davis

The instructors of this course clearly have an incredible working knowledge of ecological modeling and statistics. I would consider my knowledge of statistics a weak point of mine, and that being said, they did a great job of explaining why each model, test, etc. was the appropriate tool for the situation. For me personally, this was extremely helpful in my comprehension of the lecture content.”

Kayli Thomas

Wildlife Biologist 1, Department of Military and Veterans Affairs (DMVA) for the Commonwealth of Pennsylvania

 

SCHOLARSHIPS

Full scholarships are available to participants from countries designated as “lower income” and “lower middle income” in the World Bank List of Economies. Please see our CWS World Scholars Program page for details.

CANCELLATION POLICY

Cancellations 30 days or more before the start date are not subject to cancellation fees. Cancellations <30 days before the start date are subject to a 50% cancellation fee. No refunds once the course begins.