13 courses with the subject BAN, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BAN 120Data in Society4
This course provides a holistic and interactive introduction to data, analytics and reporting. Students will learn basic statistics and how to interpret and apply critical thinking when evaluating current news, marketing, advertising, social science/health research, political surveys, etc. Students will leave the course with a working knowledge of the basics of Microsoft Excel and how to apply it to real world scenarios. They will also learn to interpret research “claims” and spot biases in themselves and others. In today's connected world, this course has relevance for all students and majors.
This course introduces key concepts in data visualization and reporting. Topics include concepts and methods used in graphical representation of data, exploration and reporting of data, and basic linear regression methods. Upon completion, students should be able to effectively use graphical tools to communicate insights about data.
This course is an introduction to the Python programming language. Python is a language with a simple syntax and a robust set of libraries. It is an interpreted language, with a rich programming environment, including a robust debugger and profiler. While it is easy for beginners to learn, it is widely used in many scientific areas for data exploration.
A course whose content may vary from term to term according to the needs of the academic department, student demand or the interests of the faculty member.
To understand underlying relationships in data, analysts will often construct an abstract model that organizes elements of data and standardizes how they relate to one another 67 | 2026-27 William Peace University Academic Catalog
This course introduces key concepts in advanced data visualization, reporting and dashboard design using Tableau software. Topics include data prep (connecting to and managing source data), Data Visualizations (comparison charts, line charts, etc.), Adding Calculations, Dashboard Design and Publishing results. Upon completion, students should be able to effectively use graphical tools within Tableau to extract data, complete analysis, design visual stories and communicate insights about data. Course will combine pedagogical concepts and theory with practical examples.
Big data is a field that explores ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. This course covers the fundamentals of managing big data including building a database; cleaning data; merging data tables; running queries, etc. We will use a variety of software tools including Excel, PowerQuery, and SQL.
A course of study addressing a specific topic or problem of interest to a student, designed collaboratively by the student and faculty member(s), and resulting in a paper, report, critiqued performance or production, or other assessable evidence of value added to the student’s educational experience. A contract of expectations by the student and by the supervising faculty member(s) must be approved by the advisor and the Vice President for Academic Affairs prior to registration. No more than eight (8) semester hours toward the baccalaureate degree can consist of directed study credit. 69 | 2026-27 William Peace University Academic Catalog
In this course students will expand their knowledge of data modeling to consider risk and uncertainty. Students will draw on a variety of probability models to represent the uncertainty in a measurement and run simulations to arrive at a likely outcome. Students will also learn to develop complex models to recommend an optimized outcome.
Students in this course will have the opportunity to explore their particular area of interest in analytics (i.e., financial analytics, marketing analytics, healthcare analytics, 68 | 2026-27 William Peace University Academic Catalog
