Pennsylvania State University-Penn State Erie-Behrend College · Courses
DA
13 courses with the subject DA, 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.
DA 101Introduction to Data Analytics3
This course is designed around storytelling with data. It is designed to introduce students to foundational concepts in data analytics. Students will learn key concepts used in the data analytics industry to understand and frame projects. The core dimensions of analytics prescribed by current data analytics professional guidelines will be introduced and demonstrated through case studies. Students will be exposed to spreadsheets, scripting languages for analytics, and current statistical software packages. The importance of communicating findings to different constituents will be emphasized throughout this class. Enforced Prerequisite: MATH 21 or satisfactory performance on the mathematics placement examination. General Education: Quantification (GQ) GenEd Learning Objective: Effective Communication GenEd Learning Objective: Crit and Analytical Think GenEd Learning Objective: Integrative Thinking
DA 201W is a four-credit course with lecture and writing components. (DA201W, DA 302W, and DA 401W each carry only one credit of e "writing"; completion of all three courses is required to meet the writing requirement.) This course introduces students to the core areas of descriptive analytics, where the main objective is to answer "what happened" in the project. Students will learn how to accurately describe the attributes of data variables available to them for their projects. Students will have the opportunity to work on real-life projects and cases throughout the course. The course will expose students to spreadsheets, scripting languages for analytics, and current statistical software packages. The instructor will emphasize the importance of communicating findings to different constituents throughout this class. Enforced Prerequisite at Enrollment: (PSYCH 200 or STAT 200 or STAT 250 or SCM 200) and (DA 101 or DS 200) Enforced Concurrent at Enrollment: DA 301 Writing Across the Curriculum
This course introduces students to the core areas of diagnostic analytics. The diagnostic analysis takes descriptive data a step further by examining the relationships between variables through root cause analysis. Students will learn current tools and techniques, including external environmental factors, that allow analysts to explain why the patterns are observed in data and discover relationships between two or more attributes of the data. Students will have the opportunity to review case studies and work on real-world projects throughout the course. Enforced Prerequisite at Enrollment: DA 101 Enforced Concurrent at Enrollment: DA 201W
DA 302W is a four-credit course with lecture and writing components. (DA201W, DA 302W, and DA 401W each carry only one credit of "writing"; completion of all three courses is required to meet the writing requirement.) The principal objective of this course is to help students predict ¿what will happen¿ in future events based on historical data. This course exposes students to predictive analytics techniques that are consistent with best practices in the data analytics industry. Students will learn how to properly examine problem contexts to use the most appropriate method to develop the best predictive model. Students will also learn how to evaluate their results and interpret findings to users at different levels of an organization. This course focuses on the applicatio of spreadsheets, scripting languages for data analytics, and current statistical software packages. Enforced Prerequisite at Enrollment: DA 301 and DA 201W Writing Across the Curriculum
DA 401W is a four-credit course with lecture and writing components. (DA201W, DA 302W, and DA 401W each carry only 1 credit of "writing"; all three courses must be taken to meet the writing requirement). This course will introduce students to how data analytics assists in making decisions and advocating for a course of action. The core objective of this course is to help students develop a set of viable decision options (based on considerations including costs and benefits, key stakeholder preferences, ethical guidelines, etc.), ranking those decision options to create alternative courses of action, and how to achieve an optimal decision. Topics covered will include optimization, sensitivity analysis, decision making, linear programming, and simulation. Enforced Prerequisite at Enrollment: DA 302W Writing Across the Curriculum
The majority of non-numeric data is unstructured (e.g., blogs, emails, forums). DA 402 is an overview of data analytics techniques for non- Undergraduate - The Pennsylvania State University 2026-2027 3973 numeric data (e.g., text, videos or images). The methodological reasons for a qualitative rather than a quantitative approach, and the underlying challenges with this type of data depend on the hypothesis or research question. Often, research questions and organizational problems can best be answered by qualitative, non-numeric data. Students in data analytics will be exposed to situations and conditions where these practical analyses would be applicable rather than students in data sciences who create or improve the algorithm for analysis. This course will enable students to pursue further study in these types of practical applications. Students need a strong background in statistics before scheduling this course. Enforced Prerequisite at Enrollment: DA 201W Enforced Concurrent at Enrollment: (ENGL 202A or ENGL 202B or ENGL 202C or ENGL 202D) n
DA 475 is the first semester of a two-semester sequence and completion of the BS in Data Analytics. The course requirements enable the student to demonstrate the student's ability to use industry or organization data to develop a descriptive, diagnostic, predictive, and prescriptive analysis. This portion of the capstone addresses the understanding of the industry data, project scope, data journalism, and descriptive analysis. Enforced Prerequisite at Enrollment: DA 302W and DA 305 and MIS 447 Enforced Concurrent at Enrollment: MGMT 409
DA 476 is the second semester of a two-semester sequence and completion of the BS in Data Analytics. The course requirements will include a continuation of industry project (assigned in DA 475) and the remaining three-part analysis of organization-specific analysis (diagnostic, predictive, and prescriptive). Enforced Prerequisite at Enrollment: DA 475
