Advanced Data Analytics in Business
SM8723: Advanced Data Analytics in Business: This course prepares graduate students in business and management to determine how changes in policy or strategy affect outcomes. Using the OLS Regression estimations and their extensions, this hands-on course prepares students to define a research question, identify a counterfactual, run estimations, and make inferences about the efficacy of the strategy/policy.
Course outline: Please Click HERE.
Instructor: Murtaza Haider
Murtaza Haider is a professor of Data Science and Real Estate Management at Ryerson University. He also serves as the research director of the Urban Analytics Institute. Professor Haider holds an adjunct professorship of Engineering at McGill University in Montreal. From 2011 to 2014, Professor Haider served as the Associate Dean of Research and Graduate Programs at the Ted Rogers School of Management.
Dr. Haider is the author of Getting Started with Data Science: Making Sense of Data with Analytics, which was published by the IBM Press/Pearson in 2016. Professor Haider’s research interests include business analytics, data science, forecasting housing market dynamics, transport/ infrastructure/ urban planning, and human development in Canada and South Asia. Dr. Haider is a member of the Toronto Region Board of Trade’s Planning and Infrastructure committees.
Professor Haider is a syndicated columnist with Post Media. His weekly column on real estate markets appears nationally in The Financial Post and local newspapers including Ottawa Citizen, Vancouver Sun, Calgary Herald, Edmonton Sun, and Montreal Gazette. He also writes occasionally on urban development challenges for The Globe and Mail and The Toronto Star.
Murtaza Haider holds a Masters in transport engineering and planning and a Ph.D. in Civil Engineering (Urban Systems Analysis) from the University of Toronto.
