Using Python to infuse data analysis in the curriculum

In this talk, I will present lessons learned from a previous NSF CCLI grant to incorporate computer data analysis in the meteorology curriculum, and demonstrate the power of Python to expand on those findings in order to infuse data analysis throughout an earth science curriculum. Python is one of the most preferred languages for introducing algorithmic thinking to students and is freely available on many platforms with very powerful numerical computing modules and plotting options. Use of iPython workbooks enables instructors to build in descriptive elements to help students explore data, learn professionally appropriate data analysis techniques, and learn content by constructing the knowledge themselves through open-ended scientific practices.