Data Science for Decision Makers

Preface

Data science, machine learning, and artificial intelligence (AI) are transforming the business landscape.

Organizations in every industry are harnessing these powerful tools to uncover insights, make predictions, and gain a competitive edge. This trend has only accelerated with the rise in large language models and Generative AI.

But for decision makers without a data science background, or those stepping up from being a data scientist to leading data teams, there are a myriad of challenges. It can be challenging to understand underlying concepts of statistics, machine learning, and AI; manage data teams effectively; and, most importantly, translate complex models into tangible business outcomes – business outcomes that deliver real, ...