Business Analytics - Honors
This course covers basic principles in data modeling, and turning big data into intelligent actionable insights. Through the use of real business case studies and lab sessions students will develop a comprehensive, innovative and practical approach to data analytics that enables them to solve diverse and complex business problems.
Prerequisites: Open to students in the Quinlan Honors Program. Requires C- or better in ISSCM 241H or ISSCM 241 or STAT 103, INFS 247 or INFS 247H, and one of the following: MATH 110, MATH 118, MATH 130, MATH 131, or MATH 161.
Outcomes: Explain core design concepts, appraise various technological solutions, determine proper analytics methods, integrate data visualization, and make a compelling presentation of a novel use case depicting current market trends.
Prerequisites: Open to students in the Quinlan Honors Program. Requires C- or better in ISSCM 241H or ISSCM 241 or STAT 103, INFS 247 or INFS 247H, and one of the following: MATH 110, MATH 118, MATH 130, MATH 131, or MATH 161.
Outcomes: Explain core design concepts, appraise various technological solutions, determine proper analytics methods, integrate data visualization, and make a compelling presentation of a novel use case depicting current market trends.