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
A simple regression predicts outcomes based on the correlation between two variables; in the real world, however, most decisions are far more complex, often influenced by numerous factors. Multiple regression allows you to consider these additional factors when making decisions. By building on the foundational techniques, you can create a model that more accurately reflects reality, thus enhancing the confidence in your managerial decisions.
In this course, you'll discover how to improve a predictive model by incorporating more variables. You will also use a variety of statistical tools to verify the validity of your model. Additionally, since there might be situations where your system doesn't perfectly fit as you factor in more variables, you will examine how to identify such scenarios and compensate for them when constructing your predictive model. As you introduce multiple regression analysis into your skillset, you will gain a more comprehensive approach to the decision-making process, helping you overcome challenges in 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
- Continuous Distributions
- Sampling
- Hypothesis Testing
- Simple Regression
Key Course Takeaways
- Improve a predictive model by incorporating more variables
- Use a variety of statistical tools to verify the validity of your model
- Adjust your model to handle cases that are nonlinear or non-normal
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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