Early Bird Discount Ends: R Bootcamp for Ecologists & Wildlife Biologists (ONLINE)

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NO instructor support. Sign up anytime over a 3-month period and learn at your own pace as you work through prerecorded lectures and problem sets. Be aware that at any time during the first month, you may upgrade to receive Instructor support.

  • Dec 5 - Feb 24: $400 professional / $300 student
  • March 6 - May 26 (Early bird ends Feb 5, 2023): $350 professional / $250 student
  • June 5 - Aug 25 (Early bird ends May 1, 2023): $350 professional / $250 student
  • Sept 5 - Nov 22 (Early bird ends August 6, 2023): $350 professional / $250 student

Related upcoming events

  • 12/31/2025 All day

    Course access 

    Course access will remain open through December 31, 2025 at 11:59 pm ET unless notified otherwise. 

  • 01/06/2026 10:58 AM - 01/06/2026 10:58 AM

    Come check out the newly remastered Migrating to ArcGIS Pro for Foresters Short Course, now open for registration. This course has been updated for the most recent version of ArcGIS Pro with enhanced audio and video components to ensure the best learning experience. Make the shift from ArcMap to ArcGIS Pro today with this course provided by LandMark Spatial Solutions. 

    Registration open through January 12, 2026 // Access opens January 6, 2026 // Course ends March 1, 2026

  • 01/12/2026 All day

    Come check out the newly remastered Migrating to ArcGIS Pro for Foresters Short Course, now open for registration. This course has been updated for the most recent version of ArcGIS Pro with enhanced audio and video components to ensure the best learning experience. Make the shift from ArcMap to ArcGIS Pro today with this course provided by LandMark Spatial Solutions. 

    Registration open through January 12, 2026 // Access opens January 6, 2026 // Course ends March 1, 2026

  • 01/12/2026 12:00 PM - 01/12/2026 1:00 PM
    No additional details for this event.
  • 10/31/2026 All day

    Submission deadline: Saturday, 31 October 2026

    This special collection jointly hosted by the American Geophysical Union (AGU) and the Ecological Society of America (ESA) focuses on the emerging field of ecological forecasting, which involves predicting the future states of ecosystems. The issue welcomes contributions that use novel methodologies, interdisciplinary approaches, real-time data integration, and multi-forecast synthesis to enhance the accuracy, uncertainty representation, applicability, and equality of ecological forecasts.