Business Analytics
Prerequisites: Sophomore standing, C- or better in ISSCM 241, INFS 247 and MATH 131 or MATH 161.
This course covers basic principles in data modelling, 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.
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.
This course covers basic principles in data modelling, 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.
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.