There are two substantially different versions of Stat 200: L (L1 & Online) and S (S1, S2, & S3). The two versions meet the same formal requirements, so you should pick based on your background, ability, and goals.
200S is designed for students with no prior background in Stats. Therefore it starts at the beginning with means, standard deviations, definition of probability, etc.
200 L1 & Online is designed for students who have had a good one-semester course like Stat 100. (see http://www.stat.illinois.edu/courses/stat100/) Review material is provided but class time is devoted to new material. Therefore 200L is able to go into greater breadth and depth on the more advanced material.
If you have some background but not everything covered in Stat 100, this information should help you choose a version. One tip is that 200L starts off fast, so that it's hard for students transferring in after a week or two. Therefore if you remain unsure which version to take, you should start in 200L, and transfer down to 200S if needed.
200S use the text Moore, McCabe, and Craig, Introduction to the Practice of Statistics. It is currently taught by Statistics graduate students. The catalog description is
Survey of statistical concepts, data analysis, designed and observational studies and statistical models. Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics. May be taken as a first statistics course for quantitatively oriented students, or as a second course to follow a basic concepts course.
A good website showing a typical syllabus from a previous semester is here: http://www.stat.illinois.edu/courses/stat200/
200 L1 & Online uses the Fireman Incomplete Notes, written by the lecturer for this course. In addition to the material covered in first semester courses and in 200S, it covers experimental power, causal inference and confounders, transformations of variables, non-parametric tests, and logistic regression with an introduction to likelihood methods. In areas for which typical AP courses do not provide the background covered in Stat 100, materials are provided to fill in the gaps. The homepage of the most recent website is here: go.illinois.edu/STAT200
200 L1 & Online has a companion two-hour Independent Study intended to teach serious use of R for problems related to 200L: go.illinois.edu/stat390.
Contact Karle Flanagan (kflan@illinois.edu), Statistics Minors Advisor, for further advice.