Are you interested in doing analysis using Python but don't know where to start? Then this tutorial is for **you**! You've probably heard about how great Pandas and iPython are for doing data analysis. However, you probably aren't sure where to get started. That was the exact same place I was when I first heard about how to do data analysis in Python. It was even more challenging having only a single undergraduate class (5 years ago) in programming and only self-taught coding experience elsewhere. In this tutorial, I aim to guide the class through the process of doing data analysis, from problem formulation to coding to deriving conclusions. I will be emphasizing one underrepresented yet crucial step that typically does not get discussed in most workshops, that is the step of translating the problem into a series of computable steps using data structures that are amenable to analysis.