Dr. David C. Juran, who teaches courses in statistics for management and managing operations, is a winner of six teaching awards at Columbia Business School and at the Cornell Johnson Graduate School of Management, including the EMBA Globe Award for Teaching Excellence. Juran’s research has appeared in Management Science, Journal of Operations Management, and other journals. Juran’s academic interests are informed by extensive industrial and corporate experience at Pepperidge Farm, Spaulding Company, and Juran Institute, as well as his experience as an independent management consultant for organizations such as [x+1], Gordian Group, Johnson & Johnson, MarketBridge, MTV Networks, Opera Solutions, Veeco, and Carl Zeiss. Dr. Juran earned his Ph.D. at Cornell University’s Johnson Graduate School of Management, concentrating in the fields of operations management, operations research, and organizational behavior.
Basic statistical tools provide a starting point, but when it comes to tackling complex business scenarios, you often need more. Making informed decisions frequently requires the ability to devise and test hypotheses.
In this course, you will practice creating and testing hypotheses. You will examine how to construct a hypothesis that is rigorous and testable and test your hypotheses using different types of statistical data. Combining this skillset with your foundations in statistics and probability, you will enhance your understanding of potential outcomes. By the end of this course, you will be equipped with the skills necessary to back up business decisions with solid mathematical justification and foster improved communication about your decisions and with your stakeholders.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Data Analysis and Probability
- Decision Analysis
- Continuous Distributions
How It Works
Who Should Enroll
- Professionals looking to uncover insights from data
- Students who are pre-MBA or considering earning an MBA
- Analysts and researchers
- Individuals interested in moving into an analyst role
- Anyone seeking to leverage statistical or analytic skills