Intro to Analytics and AI

(2 Credits)

This course will change the way you think about data and its role in business. Businesses, governments, and individuals create massive collections of data as a byproduct of their activity. Increasingly, decision-makers and systems rely on intelligent technology to analyze data systematically to improve decision-making. In many cases automating analytical and decision-making processes is necessary because of the volume of data and the speed with which new data are generated. This course provides a deep introduction to business analytics, with a focus on the science of extracting information and knowledge from data (data science). We will examine the underpinnings of data analytics, always keeping in mind the goal of improving decision-making. We will study the fundamental principles of data science and data mining, including frameworks for data-analytic thinking and how data science methods embody the fundamental principles. We will examine real-world examples and cases to place the material in context, to help develop data- analytic thinking, and to illustrate that proper application is as much an art as it is a science.