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.
By integrating several tools and concepts in applied statistics, you are now ready to make even more precise future predictions. The process of fitting these tools into a model that represents your data accurately is known as regression. Despite the term “simple regression model,” it can prove to be a formidable tool in business decision making.
In this course, you will practice working with regression models. You will discover how to construct a linear model of the relationship between two variables. You will also use a simple regression model to calculate statistics of interest for your business question or hypothesis. Finally, you will make predictions about the future behavior of a system based on the regression model. Since a multitude of situations can be accurately explained and predicted using this type of model, this skillset will set you up for success in your future business analysis efforts.
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
- Hypothesis Testing
Key Course Takeaways
- Construct a linear model of the relationship between two variables
- Use a simple regression model to calculate statistics of interest
- Make predictions about the future behavior of a system based on the regression model
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