University of Vermont

UVM Course Directory

BSAD 148 – Bus. Driven Decision Making

Credits: 3.00

Course Description: Using Microsoft Excel and Tableau software, students will solve realistic business scenarios in areas related to finance, accounting, production and operations, sales and marketing, producing interactive data visualizations focused on business intelligence. Prerequisites: BSAD 040 or BSAD 141 or CS 021; Business Administration or Computer Science and Information Systems Majors, Business Administration minors; Minimum Junior standing.

Section Description: Business Analysts need to communicate practical implications of quantitative summaries to a variety of audiences. To do this, they need to be comfortable with both the appropriate concepts and the available tools to generate actionable intelligence to support complex data driven decision making. This course is focused on how to communicate and use business relevant intelligence in systematic, reproducible, logically defensible and meaningful ways. The course will approach the subject matter with a two-pronged approach to combine the art of logical reasoning with the hands on application of software tools available today. Students of this course will learn: 1. Effective data use for analytical insight. 2. About Enterprise Coordination of People, Processes and Data. 3. How analytical leaders operate. 4. How to develop and evaluate SMART goals In addition to the broad topic areas above, the course will use technical deep dives to introduce students to software technologies & concepts including relational database theory, data warehousing, popular data visualization techniques and emerging technology platforms. These course content technical ‘deep-dives’ will include hands on labs introducing students to sophisticated in-demand software tools like Tableau, SQL Server, advanced spreadsheet modeling features and more.

CRN: 95808

Section: A

Enrolled/Seats: 31/45

Days Time Location
TR 13:15 - 14:30 IFSHIN HALL 240

Instructor(s): Thomas Ira Chittenden

Meeting Dates: 26 Aug 2019 - 06 Dec 2019