Data is everywhere. Learn how to collect, organize, visualize, and interpret it in DATA 101 – Introduction to Data I. This new interdisciplinary course introduces foundational skills in data analysis, statistics, visualization, ethics, artificial intelligence (AI), and machine learning through hands-on, real-world applications.
More Information:
Build Foundational Data Skills With DATA 101
Data is everywhere. Learn how to collect, organize, visualize, and interpret it in DATA 101 – Introduction to Data I. This new interdisciplinary course introduces foundational skills in data analysis, statistics, visualization, ethics, artificial intelligence (AI), and machine learning through hands-on, real-world applications.
Course Topics Include
• Data collection, cleaning, and management
• Data visualization and statistical analysis
• Working with quantitative and qualitative data
• Data ethics and responsible AI
• Introductory machine learning concepts
Students will gain hands-on experience using modern software and programming tools while working with real-world data.
Why Take DATA 101?
• Common Course Number designation
• Counts toward Quantitative/Symbolic Reasoning (QSR) requirements
• No prior programming experience required
Enrollment Requirement
Completion of MATH 98 with a C or better, or permission of the instructor.
Fall 2026 Hybrid Course Offerings
• Tuesday/Thursday, 3 – 4:50 PM
• Monday/Tuesday/Wednesday/Thursday, 10:30 – 11:20 AM
Register today and start building foundational data skills for today’s data-driven world.
More Information
Use this link to access the BC Course catalog.
Last Updated May 28, 2026