Baylor QBA: Quantitative Business Analysis
QBA 2302: Business Statistics
3 credit hours · 9 sections · 345 open seats · Cheryl Kay, Shaun Eide, Phil Young
Prerequisite(s): A minimum grade of C in BUS 1350; Only open to BBA students. The application of statistical methods used in business decision-making. Topics include methods for accessing and describing data. An introduction to probability provides a framework…
QBA 3305: Intro to Business Analytics
3 credit hours · 12 sections · 530 open seats · Jonathan Trower, Qin Weng, Meiling Jiang, Rory Samuels and 3 more
Prerequisite(s): Minimum grade of C in QBA 2302. Only open to BBA students. Designed to aid in understanding what has happened in the past in a firm (descriptive analytics), using past data to predict what is going to happen in the future (predictive analytic…
QBA 3306: Statistical Models in Business
3 credit hours · 1 section · 30 open seats · Rory Samuels
Prerequisite(s): A minimum grade of C in QBA 3305; only open to BBA students. Emphasizes building computer-based statistical models as aids in business problem solving. Case studies are analyzed using multiple regression, analysis of variance, time series fore…
QBA 4344: Business Intelligence
3 credit hours · 3 sections · 60 open seats · Meiling Jiang
Prerequisite(s): A minimum grade of C in QBA 3305; only open to BBA students. Business Intelligence (BI) is the discovery of patterns and relationships hidden in large volumes of data. This hands-on course is designed to provide practical analytic skills that …
QBA 4355: Data Analysis Using Excel
3 credit hours · 1 section · 5 open seats · Erica Ancira
Prerequisite(s): MIS 3305; only open to BBA students. This advanced Excel course focuses on harnessing the power of built-in 'Power Tools' like Power Query, Power Pivot and Power BI to efficiently manipulate, analyze, and visualize large datasets, enabling use…
QBA 5330: Bus Analytics for Dec Making
3 credit hours · 2 sections · 44 open seats · Jeremy McElroy
An introduction to analytical techniques in the three areas of business analytics – descriptive, prescriptive, and predictive – and their application to business decision making.