Simon Mason

I learned how to do some basic coding in R, which is not a skill that I hoped to get out of this program, but still kind of cool nonetheless.

I learned a lot about how statistics can be misleading & how to perform crop output functions that take into account internal variability. These skills can be used for climate models!

I learned statistics and decision modeling in regards to climate decisions

quantitive climate data analysis and applications

Decision theory and decision making under uncertainty (and at times certainty). This course gave us a strong and critical lens to analyze data/statistics through.

I greatly improved in my skills in R as well as decision theory!

This course taught me coding and problem solving skills. I learned the conceptual knowledge needed to apply to real world problems.

I learned a lot of new material and I think that for those who do not have a background in statistics, the professors do a great job in providing examples that you can understand.

quantitative models of climate change, using statistical models and techniques to interpret data

I became familiar with R and applying statistical concepts to climate change issues like ENSO events and farming decisions