Environmental Sampling and Data Quality

Learn to avoid sampling and modeling errors!

Understanding and improving sampling methods and the planning approach to sampling provides one of the best opportunities to improve sampling and analytical results. Every site is different, and the dynamic process of sample collection and analysis poses greater risk of error than laboratory results. Proper planning and use of statistics throughout the process can result in more accurate results and prevent wasted time and money.

The Environmental Sampling and Data Quality course is designed for those responsible for developing sampling plans, evaluating sampling results, assuring data quality, or performing field sampling. You will learn to select an appropriate sampling method and gain an understanding of the associated variables and common mistakes, develop a scientifically and legally defensible sampling plan, and apply practical statistics throughout the planning and analysis process.

The course is a combination of systematic training modules, practical exercises, demonstrations, and group discussions, to ensure you return to your organization with practical knowledge that can be applied immediately. Students are provided with handouts which can serve as a valuable desk reference.