logistic Regression Variables Basic question,
If I have a bunch of independents variables and a dependant one, would I run a separate model for each independent variable against the dependant one to find their effect(OR, prob etc) before creating a multiple best fit model?

It's not so much about running a separate model for each variable, but more about identifying the important covariates that you'll use to build your model.
If you have categorical independent variables, I believe you can use a contingency table instead. However, for other types of data, it's probably best to fit them into a logistic regression one at a time and analyse the fit each time.
This resource online is quite helpful is you need a little refresher: Building and Applying Logistic Regression Models
