This course prepares participants to review, analyze, and make decisions based on results from business intelligence projects. The course covers reading and interpreting regression analysis, and gives participants the skills to critically analyze and identify potential limitations on analysis. The course also explores how to predict changes in business outcomes based on analysis and identifying the level of certainty or confidence around those predictions. This paves the way for future detailed courses in predictive analytics.
Review Questions: Business Intelligence: Applying and Using Data Analysis
Final Exam: Business Intelligence: Applying and Using Data Analysis
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Michael is a finance professor at Fairfield University in Connecticut. He holds a PhD in finance from the University of Tennessee and his work has been quoted in the Wall Street Journal, CNN, Nasdaq dot com, Bloomberg, Reuters, and many other outlets. Michael is the President of Morning Investments, a consulting firm headquartered in Connecticut. He consults extensively with organizations ranging form Fortune 500 companies and government agencies to start-up businesses on matters related to finance and investments. Michael has served also as an expert witness on finance related matters in legal disputes, and is an arbitrator with the Financial Industry National Regulatory Authority (FINRA).