This workshop will give mathematics educators experience solving real "big data" problems in science, industry and government. Participants will learn the methodology and algorithms used by statisticians to analyze large data sets. They will learn the models most commonly used, how to implement them and how to deal with the practical data issues such as data typing, missing data and data quality. Most of the techniques, which are often grouped under the rubric of "data mining," are based on methods (e.g., regression) introduced in elementary statistics courses and will seem familiar and intuitive, even to those with limited statistics experience other than teaching the first course. Participants will learn the techniques interactively, performing and discussing the analysis with each other after learning each method. For the final component, they will work in groups on projects and report on their findings.
Questions about PREP? Contact Olga Dixon at 202-319-8498 or firstname.lastname@example.org.