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.
Course Overview
When aiming to construct a model, the goal is to strike a balance between accuracy, ease of use, and audience comprehension. Interestingly, numerous phenomena in both the natural and business worlds can be captured using the renowned bell curve. Harnessing the power of the bell curve will set you up for success in your business forecasting efforts.
In this course, you'll employ the normal distribution as a new tool to generate more effective forecasts. You will identify cause-and-effect relationships that are relevant to your business decisions.You will also discover how to recognize when the accuracy of this tool falls short of expectations and employ corrective adjustments accordingly. By the end of this course, you will have the necessary skills to apply normal distributions when forecasting for your business.
You are required to have completed the following courses or have equivalent experience before taking this course:
- Data Analysis and Probability
- Decision Analysis
Key Course Takeaways
- Use the normal distribution to determine the probabilities of particular outcomes
- Identify cause-and-effect relationships in business settings
- Apply appropriate corrections to the estimates generated by the normal approximation
How It Works
Course Author
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
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