INTRODUCTION

In the current data-driven world, organizations are increasingly looking for ways to extract meaningful insights from their data that could drive decision-making.  One of the most advanced types of analytics is “Prescriptive Analytics”. Prescriptive analytics uses data, algorithms, and models to recommend actions for an optimum outcome. This short course has been designed to provide you with a comprehensive understanding of Prescriptive Analytics. It will start with an overview of basic Python tools that are necessary for Data analytics.  The participants will then be exposed to the different types of Analytics by highlighting the fundamental concepts of each and their differences. Optimization tools, which are essential to prescriptive analytics will be introduced. Prescriptive analytics frameworks will then be presented followed with some real-world examples of prescriptive analytics applications and case studies.