Showing results for "Scientists" in Data Science

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

In a world dazzled by digital promise, the profession of Data Science has acquired an almost mythical glow. Headlines celebrate it, industries chase it, and countless seekers imagine that mastery of this field will open a direct path to success. Yet behind this bright aura lies a more intricate reality—one shaped by discipline, ambiguity, intellectual rigor, and the quiet labour of confronting the unknown. This book invites the reader to step beyond the mirage and encounter the craft as it truly is.

Did you know the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists.