Doing Data Science Quotes

“Data scientist (noun): Person who is better at statistics than any software engineer and better at software engineering than any statistician. — Josh Wills”
― Rachel Schutt, Doing Data Science: Straight Talk from the Frontline

“Data science is the civil engineering of data. Its acolytes possess a practical knowledge of tools and materials, coupled with a theoretical understanding of what’s possible.”
― Rachel Schutt, Doing Data Science: Straight Talk from the Frontline

“More generally, a data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. She spends a lot of time in the process of collecting, cleaning, and munging data, because data is never clean. This process requires persistence, statistics, and software engineering skills — skills that are also necessary for understanding biases in the data, and for debugging logging output from code. Once she gets the data into shape, a crucial part is exploratory data analysis, which combines visualization and data sense. She’ll find patterns, build models, and algorithms — some with the intention of understanding product usage and the overall health of the product, and others to serve as prototypes that ultimately get baked back into the product. She may design experiments, and she is a critical part of data-driven decision making. She’ll communicate with team members, engineers, and leadership in clear language and with data visualizations so that even if her colleagues are not immersed in the data themselves, they will understand the implications.”
― Rachel Schutt, Doing Data Science: Straight Talk from the Frontline

“Here’s a nice paper on it by Tom Fawcett, “Introduction to ROC Analysis”.”
― Rachel Schutt, Doing Data Science: Straight Talk from the Frontline

“We’re witnessing the beginning of a massive, culturally saturated feedback loop where our behavior changes the product and the product changes our behavior.”
― Rachel Schutt, Doing Data Science: Straight Talk from the Frontline