Bundle: AES 1 & 2: (Existing registrants only)
Make sense of your data, from the basics through trend analysis
This bundle provides full access to two separate courses, Applied Environmental Statistics 1 and 2. For a single price one person can take both courses over a 1-year period. This is the full material taught in our one-week in-person course. It includes everything you see in the course outline for both AES 1 & 2 courses, including hypothesis testing, permutation tests, how to build a good regression model, and trend analysis. When you're done with this bundle, you'll be a pro! And no travel expenses -- learn it at your own pace.
To get an idea of what my teaching style is like and what the courses are about, view the free "Don't Worry About A Normal Distribution Again" or "Which Of These Things Is Not Like The Others?" videos on this site. They are a preview and a small sample of the content of the AES courses.
"I took the in-person version of this AES (1 and 2) course. It was absolutely excellent. I told my manager that it was the best lecture/workshop that I had ever been to! Of any kind, but especially of stats. Dennis took the time to explain the stats very clearly and identified very important things to consider, especially in terms of water chemistry data. I have always had trouble with trends of concentrations or loads over time because of the variability due to flow. Now I know how to deal with this situation, and will be able to separate natural from possible human-caused changes in water quality. I will be applying these techniques in the future, including multiple regression (while removing the effect of flow) and the Regional Kendall test to see if there is an increasing or decreasing trend watershed-wide. This will enable me to write a paper on trends in water quality in the Lake Simcoe river basin in Ontario."
- Eavan OConnor, Lake Simcoe Region Conservation Authority, Ontario
Courses Included with Purchase
Original Price: $0
Dennis Helsel (Ph.D. Environmental Science and Engineering):
"I'm a translator of statistical methods for scientists. My firm's name, Practical Stats, says it all. I've written/co-authored two textbooks. Statistics for Censored Environmental Data using Minitab and R (2012) pioneered statistical methods for data below detection limits. Statistical Methods in Water Resources (2020) has been cited by scientists throughout the world. I've taught webinars for the National Water Quality Monitoring Council and others; workshops for the American Statistical Association and others; courses such as AES and NADA for scientists in North America, Europe and Singapore since 1990. I worked for 30 years at the US Geological Survey before starting Practical Stats.
In 2003 I received the Distinguished Achievement Award from the American Statistical Association’s Section on Statistics and the Environment for my training courses in applied statistics.
In 2018 I received the Lifetime Achievement Award from the California Groundwater Resources Association for my communication of statistical methods to scientists. My courses provide up-to-date procedures communicated in clear language using video examples of data analysis of 'real data'."
"Best practices in statistics evolve. So much of what many of us were taught in college is not currently the best methods for environmental data. With lots of well-written handouts/slides and good hands-on exercises, everyone who attended the Region 1 EPA-sponsored Applied Environmental Statistics class for Indian Nations learned a lot, both on statistics applied to environmental sampling, and how to use the free R software for data analysis. Representatives from Penobscot Indian Nation, located in central/northern Maine, have attended this and two other classes taught by Practical Stats. These classes have also provided insight into how to improve a program’s study design to better answer the questions Indian Nations ask of their data. What I learned helped us decide which site was the best location for a continuous monitoring platform that would give us the earliest detection of Harmful Algal Blooms (HABs), saving us scarce monitoring dollars."
- Angie Reed, Penobscot Indian Nation