This course presents an overview as well as practical guidelines for applying analytics and data to complex business decisions as they arise. The textbook used in the course will be Profit from Science, written by the instructor.
Working knowledge of the terminology and general business practices in the healthcare industry. Basic mathematics and computer skills, and cursory familiarity with information technology.
LEARNING OUTCOMES/COURSE OBJECTIVES
COURSE STRUCTURE AND MATERIALS
The course is based upon lectures, exercises done in class, exercises done by students outside of class, exercise solution discussion, and case discussion.
George Danner, President, Business Laboratory | Bio
9 class sessions, 3 hours each from 6 – 9 p.m.
Case assignment each session
Session 1 – Sept. 11, 2017
What is Analytical problem solving?
Session 2 – Sept. 18, 2017
How to properly frame a problem
Session 3 – Sept. 25, 2017
How are business problems different from other problems?
Session 4 – Oct. 2, 2017
Methods and tools of analytics, Part 1
Session 5 – Oct. 9, 2017
Methods and tools of analytics, Part 2
Session 6 - Oct. 16, 2017
All about data
Session 7 – Oct. 23, 2017
Visualization and other user considerations
Session 8 – Oct. 30, 2017
Building and maintaining analytical teams
Session 9 – Nov. 6, 2017
What does a modern analytical organization look like?
3 contiguous days, 8 hours each
Analytical problem solving
The uniqueness of the healthcare industry
Analytical methods, data and technology
Embedding analytics successfully in organization