Skip to main content
Print this page
Select a Catalog
Walsh College Academic Catalog 2024-2025
Walsh College Transfer Resources
Walsh College Academic Catalog 2023-2024
Archive Catalogs
Catalog Search
Search Options
Entire Catalog
Programs
Courses
Search
http://walshcollege.smartcatalogiq.com/
7d27710f-4f3f-4659-a21e-d118f12c27f3
https://searchproxy.smartcatalogiq.com/search
ea5a2d76-3a70-415e-ac04-5e5919d3885a
course
/Institutions/Walsh-College/json/2020-2021/Walsh-College-Catalog-local.json
/Institutions/Walsh-College/json/2020-2021/Walsh-College-Catalog.json
Contents
Welcome to Walsh
Academic Calendar & Important Dates
General Information
Walsh Degree Programs
Academic Policies and Requirements
Undergraduate Degree Programs
Applied Management, Bachelor of Science (BSAM)*
Information Technology, Bachelor of Science (BSIT)
Graduate Degree Programs
Dual Degree Programs
Graduate Certificates
Doctoral Degree Program
Courses
ACC - Accounting
BL - Business Law
COM - Communications
ECN - Economics
ENG - English
FIN - Finance
IDS - Interdisciplinary
IT - Information Technology
MGT - Management
MKT - Marketing
MTH - Math
QM - Quantitative Methods
200
300
500
QM 501
QM 504
QM 505
QM 520
600
TAX - Taxation
Walsh Leadership
Walsh Faculty
Walsh Board of Trustees
Walsh History
Notice of Nondiscrimination
Catalog Links
Catalog Home
Site Map
All Catalogs
QM 520
BUSINESS ANALYTICS
This course in business analytics develops important skills in data analysis, modeling, and decision making under uncertainty. It is designed to train students to use valid inferences data to inform their decision. The topics covered in the course include exploratory data analysis, probability, analysis, estimation, simulation, hypothesis testing, and regression analysis. Business Analytics emphasizes application of analytical techniques through its lectures, case analysis and discussions, and computer exercises. Effort is made to translate the statistical results into language understood by non-technical audiences and similar communication is expected from students. Real-world cases of successes and failures with analytics-based business strategies are considered. This course presents topics from statistics and decision theory that can help clarify managerial problems and aid in selecting appropriate courses of action to enhance decision-making ability. The focus is on analysis, interpretation, and application of data collected for management decision making. Topics include sampling, statistical inference and hypothesis testing, analysis of variance, chi-square, correlation and regression analysis, and applications to statistical process and quality control (SPC) and industrial experimentation (DOE).
Credits
3
Prerequisite
GR: MGT 502 (may be taken concurrently); UG: QM 202
Distribution
QUANTITATIVE METHODS