The problems faced by decision makers in today’s competitive business environment are often extremely complex
and can be addressed by numerous possible courses of action. Evaluating these alternatives and gaining insight
from past performance is the essence of business analytics. This course is designed as an introduction to Business
Analytics, an area of business administration that considers the extensive use of data, methods and fact-based
management to support and improve decision making. While business intelligence focuses on data handling, queries
and reports to discover patterns and generate information associated with products, services and customers,
business analytics uses data and models to explain the performance of a business and how it can be improved.
This course discusses the benefits of employing analytics and a structured approach to problem-solving in
The primary objective of this course is to help students become proficient in fact-based management.
In other words, students will learn how to translate business situations into formal models, identify the relevant
data and investigate how those models enhance decision making. To achieve this objective, the course will
introduce common analytic methods, discuss their strength and weaknesses, and show how they can be used to
help managers make better decisions. Throughout the course, students will be exposed to a variety of applications
in which these models can be applied effectively. Moreover, the course will show how to use Excel spreadsheets and
other software packages effectively for business modeling analysis.
On the 2012 summer edition of this course at the University of Colorado, the students gave it very good evaluations (FCQs).
It has no pre-requisites. We mainly work together in the classroom (computer lab.) to translate
business situations into Excel models. It`s easy, and we will help you to do it yourself. Download the course
syllabus for a complete description. Enroll now and join us in the
CU Summer Session
at the Leeds School of Business.