Feb. 23, 2007
9 a.m.	Recent stories using advanced techniques, from rotten meat to jury pools
10 a.m.	From database managers to more powerful software: simple tasks in SPSS that will save time every day
11 a.m.	The basics of data analysis: Units of analysis and the data ladder
Noon	Lunch
1 p.m.	Recoding: From values to categories and back
2 p.m.	Working with many categorical variables: Frequencies, crosstabs, layered crosstabs and significance testing on rates
4 p.m.	Overview of sampling
Feb. 24, 2007
9 a.m.	From categorical to continuous variables: Ranges, descriptives and pictures
10 am.	Mixing categorical and continuous -- ANOVAs
11 am.	Working with many continuous variables: Correlations, scatter plots
Noon	Lunch
1 p.m.	The basics of linear regressions
2 p.m.	Diagnosing your regressions: You're not done yet
4 p.m.	Going further with predictive models -- the basics of dummy variables and logistic regressions
Feb. 25, 2007
9 a.m.	Great graphics and what they have in common
9:30 am.	More data analysis tools for Census and other data: Gini, diversity and segregation measures
Noon	Lunch
1 p.m.	Combining many measures into indexes, from school quality to quality of life
2 p.m.	(Optional) Question-and-answer session
3-4 p.m.	(Optional) Open lab