ISYS7730 · Information Systems
Carroll School of Management
Modern information systems now generate massive volumes of data. Organizations everywhere struggle to aggregate, analyze, and monetize the growing deluge of data. Business Analytics capitalizes on this data by combining statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management. Managers can explore patterns, predict future trends and develop proactive, knowledge-driven decisions that affect all parts of modern organizations. This course provides students with a pragmatic familiarity with the capabilities and limitations of emerging analytics techniques, an introduction to Python, an overview of methods and tools, and a core understanding required to be an intelligent manager, designer and consumer of analytics models.STEM-designated
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.3 / 5
How well the course was organized
Challenge
4.4 / 5
How intellectually challenging students found it
Attendance
4.2 / 5
How necessary attendance was
Assignments
4.2 / 5
How helpful assignments were
Weekly effort
~4.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Midterm Spring 2024
2 sectionsSpring 1 2023
2 sectionsMidterm Spring 2022
2 sections2022SPR1
2 sectionsMidterm Spring 2021
2 sectionsSpring Midterm 2020
2 sections