Classes

I teach two core courses in Data Analytics Foundation and Business Analytics & Operations. Register below to access full course details, syllabi, learning outcomes, and curriculum content.

Undergraduate Courses

BA 100

Data Analytics Foundation

Undergraduate 3 Credits Prerequisites: None

An introductory course designed to build foundational knowledge and skills in data analytics. Course details are available to registered students only.

Instructor: Dr. Arkhe M. Pacis

Register to View Full Course Details

BA 301

Business Analytics and Operations

Undergraduate 3 Credits Prerequisites: BA 100 or equivalent

Comprehensive introduction to business analytics and operations management. Course details are available to registered students only.

Instructor: Dr. Arkhe M. Pacis

Register to View Full Course Details

Register for Course Access

Register below to gain access to full course syllabi, learning outcomes, topics, and assessment details.

Course Information

Course Access

Full course details, including syllabi, learning outcomes, topics, and assessments are available only to registered students.

Register above to gain access to all course materials and detailed information.

Course Materials

Detailed syllabi, lecture notes, case studies, and data files are provided in the learning management system. Students have access to all materials from the first day of class.

Recommended textbooks are listed in each syllabus. Many resources are available through the university library, and open-source materials are used when possible.

Office Hours

I maintain regular office hours for student questions and mentoring. Sessions can be in-person or virtual, and appointments can be scheduled through the university system.

Beyond course content, I'm happy to discuss career paths, research interests, and academic planning during office hours.

Software & Tools

Courses use industry-standard tools including Excel, Python, R, SQL, and specialized analytics software. Most tools are available through university lab access or free educational licenses.

No prior programming experience is required for undergraduate courses; graduate courses assume some technical background or willingness to learn quickly.