Advanced Data Analytics for Cyber
BFOR-516-7802
University at Albany
- Semester
- Spring 2026
- Instructor
- Srishti Gupta
- Start Date
- 01-21-2026
- Total Credits
- 3
- Call to Register
- 518-442-5140
Take your class online with SUNY
You will learn the same curriculum as our on-campus students
This course will cover data analysis applications in a variety of situations, including intrusion detection, fraud detection, behavioral analysis and managing large, loosely-structured data sets. Students will learn widely-used machine learning algorithms and have hands-on experience with data preprocessing, feature extraction, and information visualization. Specific machine learning applications include classification, clustering, and regression. Before taking this course, students should have basic programming skills and a sufficient mathematical background in probability, statistics, and linear algebra. The course will primarily use Python to implement the data processing and analysis. Prerequisites: Students taking this course should have prior knowledge of elementary statistics and programming for security analytics. Students who have received credit for BFOR416 cannot receive credit for this course.
Course Area: Information Science
Level: Graduate
Dates: 01-21-2026 - 05-05-2026
- Find books for your online class
- Instructor: Srishti Gupta
- Local Course ID: 26SP_ALB_BFOR516_1
- Books & Supplies
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