Analytics for Decision Making

Overview

Unlock the secrets to avoiding bad decisions with our insightful course, "Analytics for Decision Making." Dive into the essence of sound statistical thinking that gives you a competitive edge in today's fast-paced business environment. This course beyond just teaching statistics and data analysis; it enlightens you on the core concepts that are crucial in making informed decisions, sometimes even before data is collected.

Understand the importance of variation, grasp the relative risks of different decisions, and identify variation sources to enhance your decision-making skills.

Unlike traditional statistics courses that are often bogged down by minor techniques and computations, this course maintains a clear focus on the significant ideas that really matter. We bring these concepts to life with practical, lively examples that are easy to understand.

Explore how traditional statistical methods remain vital in contemporary analytics applications, learn to avoid common misconceptions in quantitative problems, apply statistical methods in predictive scenarios, and gain deeper insights into customer engagement through analytics.

Whether you're contemplating graduate study in a business field with a bachelor's degree or simply eager to develop a solid framework for making excellent decisions, this course is tailored for you. Opportunities in analytics are plentiful, and while knowing specific techniques or software may be beneficial initially, understanding the mechanics behind quantitative models is a timeless skill, valuable at the management level.

As part of the Business Principles and Entrepreneurial Thought XSeries, this course is offered through edX, and falls under categories such as Business Intelligence Courses and Predictive Analytics Courses, making it a perfect fit for those looking to advance their knowledge and skills in these areas.

Taught by

Rick Cleary, Nathan Karst, Davit Khachatryan, George Recck and Babak Zafari

Subjects

united states