Global Certificate in Conservation Data Analysis for Conservation Strategies

• Introduction to Conservation Data Analysis: Overview of the field, its importance, and applications in conservation strategies.
• Data Collection Techniques: Explanation of various methods for gathering data in conservation, including remote sensing, field surveys, and citizen science.
• Data Management and Quality Control: Best practices for organizing, cleaning, and ensuring the accuracy of conservation data.
• Data Analysis Techniques: Introduction to statistical methods and software tools for analyzing conservation data, such as R and Python.
• Geographic Information Systems (GIS) for Conservation: Overview of GIS, its applications in conservation, and hands-on training in using GIS software.
• Species Distribution Modeling (SDM): Explanation of SDM, its uses in conservation planning, and instruction on building SDMs using maximum entropy and other methods.
• Landscape Genetics and Connectivity: Overview of landscape genetics, its applications in conservation, and instruction on using genetic data to inform connectivity conservation planning.
• Climate Change Modeling and Conservation Planning: Explanation of the impacts of climate change on biodiversity and instruction on using climate change models to inform conservation planning.
• Monitoring and Evaluation: Overview of monitoring and evaluation methods, their importance in conservation, and instruction on designing and implementing monitoring and evaluation plans.