Statistics for Ecology and Conservation Biology
- Importing and formatting data to achieve meaningful statistical analysis
- Exploring, describing, and manipulating data sets to identify strengths and work around weaknesses
- Selecting regression framework based on the type of data and research objectives
- Understanding statistical methods, assumptions, limits, and applications of regression approaches
- Performing model selection and testing for model fit and performance
- Understanding, interpreting, visualizing, and presenting results with associated uncertainties
Participants must be familiar with basics of programming in R either independently or with the help of pre-course assignments.
March 8 – 19, 2021
Smithsonian Conservation Biology Institute in Front Royal, VA.
- Available Formats
Graduate (CONS 625, 3 credits)
Professional Training (SMSC 0501, 6 CEUs)
Graduate: See Mason’s graduate tuition rates
Professional Training: $3,203.00*
*Professionals from certain countries are eligible for a reduced rate of $2,276.00 which will automatically be reflected during the registration process.
Apply by December 29, 2020 for first consideration
Payment Deadline: January 12, 2021
Meet the Faculty
Smithsonian-Mason School of Conservation
Smithsonian Conservation Biology Institute
This course provides analytical tools in R to address ecological and conservation-oriented questions. Focus will be on best practices for data exploration, statistical model implementation, and results interpretations. The course provides ecology and related science professionals the full suite of skills necessary to conduct robust regression analyses. Analytical methods covered will be appropriate for regression analysis of continuous, binary, and count-based response data. Designed primarily for beginners, this course teaches a range of techniques for participants already familiar with basic regression approaches.
The total cost for professional training includes our Housing ($624.00) and Dining ($416.00) Packages and covers:
- Instruction, course manual, and other course materials
- Airport pick-up and drop-off shuttle service at Dulles International Airport (IAD) at specific pre-arranged times. We do not provide ground transportation shuttle service to or from any other airports in the Washington, DC, region.
- Transportation for course activities.
- Daily full-service buffet at the SMSC Dining Commons.
- Housing at the SMSC Residential Facility, including a shared room with bathroom (single rooms available at twice the cost of shared housing).
Acceptance does not guarantee you a seat in the course. Seats are allocated as registration payments are received, and early registration is strongly encouraged to ensure you get a spot.
Interested in Commuting?
Participants with a documented, permanent address local to campus may elect to commute with permission from SMSC. Commuters are required to purchase a reduced meal plan ($121.00) which includes lunch and snack breaks for each day of instruction. Additional dining options are available and may be selected during registration. Email SCBItraining@si.edu for additional information.
“I was pleasantly surprised to enjoy statistics for the first time in my career, and the intensive two-week session is conducive to processing and integrating lessons.”
“I went from only knowing the basic R operations, to being able to apply currently-used predictive models to read data in a matter of two weeks. I would highly recommend this course to anyone who is wanting to create explanatory and predictive models from their data.”