Pandas for Everyone: Python Data Analysis, First Edition

Preface

In 2013, I didn’t even know the term “data science” existed. I was a master’s of public health (MPH) student in epidemiology at the time and was already captivated with the statistical methods beyond the t-test, ANOVA, and linear regression from my psychology and neuroscience undergraduate background. It was also in the fall of 2013 that I attended my first Software-Carpentry workshop and that I taught my first recitation section as a teaching assistant for my MPH program’s Quantitative Methods course (essentially a combination of a first-semester epidemiology and biostatistics course). I’ve been learning and teaching ever since.

I’ve come a long way since taking my first Introduction to Data Science course, which was taught by Rachel ...