As anyone who has taught or taken a statistics course knows, statistical calculations can be tedious and error-prone, with the details of a calculation sometimes distracting students from understanding the larger concepts. Traditional statistics courses typically use scientific calculators, which can relieve some of the tedium and errors but provide little record for the student to study and/or submit. Mastering the calculator also involves a steep learning curve, especially for more complex statistical calculations. "Excel," on the other hand, provides an excellent visual learning tool for statistics classes, from the introductory level focusing on descriptive statistics and graphs to the advanced statistics courses involving hypothesis testing, ANOVA, and multiple linear regression. This is especially the case for online statistics courses, since both student and instructor are already communicating solely via computer and most students have "Excel" software on their machines. From there it's just a matter of the student learning how to use "Excel" for statistical calculations, analyses, and graphs. In this article, the author discusses a tutorial methodology which relies on static tutorials presented directly in "Excel," using graphs, instructional textboxes, arrows, numbered steps, formulas tied to cell references, screen shots of function dialog boxes, and Data Analysis Tools, with each tutorial tied directly to examples in the textbook. Thus, the student is able to see and compare both the textbook's approach and the "Excel" approach to solving the same problem, reinforcing the learning of both concepts and methodology. (Contains 8 figures.)