The UM-Flint Office of Research has limited funds to support consultation for statistical design or analytical questions through the Consulting for Statistics Computing and Analytics Research (CSCAR) on the Ann Arbor campus. CSCAR's mission has changed with advances in research computing and the growth of the Data Science initiative. Whatever your needs, we ask that you contact the UM-Flint Director of Research, Ken Sylvester, at email@example.com, before arranging a consultation in Ann Arbor. In some cases CSCAR has set up wiki resources that can get you started with some basic learning modules, https://github.com/CSCAR/Resources/wiki. One example is the Learning R resource page by CSCAR consultant Michael Clark. R is an open source statistical package that grows more powerful by the day because of its growing community of users. If you are not steeped in/committed to one of the traditional statistical packages like SPSS, SAS or STATA, consider learning R. It has powerful visualization tools, text mining routines, simulation and parallel processing packages, and can talk to ArcGIS for spatial analysis routines.