The objective of Analytics 2 is to provide you with a strong background in analytics and machine learning, which is the engine behind AI. We will emphasize learning how to be an intelligent "consumer" of analytics. This, in turn, will help you make effective decisions as a manager using machine learning and AI. We will use sophisticated statistical and machine learning analytics methods to understand and anticipate the effects of our actions. These methods include confidence intervals, hypothesis testing, A/B testing, multiple regression, and supervised and unsupervised machine learning models such as neural networks and cluster analysis. We will apply these methods to problems from all organizational functions including management & strategy, operations, economics, marketing, finance & accounting, and to a variety of industries. In addition, you will become skilled in performing various analyses via hands-on experience using Radiant, based on R/R-Studio programming language.