Foundations of Data Science & Analytics

Catalog description

Introduces the data-for-decision-making paradigm through the lens of the Wolfram computing suite – comprised of WolframAlpha, the Mathematica language, and computable notebooks. Lectures introduce methods and best practices of data collection, integration and visualization, together reinforced via team exercises drawing on real-world domains. To facilitate explorative autodidactic learning, students will learn how to self-instruct new coding skills by using Mathematica Document Center ‘help pages’ in conjunction with myriad open coding demonstrations.