INFO 6513
Business Analytics & Data Vis
This course provides an introduction to Business Analytics and Data Visualization. It covers the processes, methodologies and practices used to transform the large amounts of business and public data into useful information to support business decision-making. Students will learn how to extract and manipulate data from these systems. They will also acquire basic knowledge of data mining and statistical analysis, with a focus on data visualization. The students will also learn to build and use management dashboards and balanced scorecards using a variety of data design and visualization tools. The course will be made up of a combination of conceptual and applied topics with classes being held in a computer lab. Technologies to be used will be focused on end-user analytics and data visualization and will include state of the art tools for self-serve business analytics
Sections
From the syllabus
From the Winter 2025 syllabus by Kyung Young Lee. Winter 2027 is taught by Conrad C., so details may differ. Open the PDF
Grading
Textbook
- Practical Analytics (2nd Ed), Nitin Kalé and Nancy Jones (optional)
Course rules
- Late work
- Late deliverables are not accepted without appropriate documentation; exceptional extensions must be discussed at least 24 hours before the deadline.
- Missed quizzes
- A missed quiz without an official reason receives zero, and no make-up quiz is offered.
- Quiz format
- Quizzes are closed-book, use the Brightspace LockDown Browser, and allow one attempt during a 24-hour window.
- Recordings
- The instructor may record and share synchronous sessions; students may not record them themselves.
- Submissions
- Submit deliverables through Brightspace and keep an electronic copy of every exercise and assignment.
Have a more recent syllabus for INFO 6513? Sign in to share it