ONLINE TUTORIAL: Better Teaching of Business Statistics (June 2017)

Описание

Data analysis has become a critical skill for university graduates to succeed in both business and marketing. Business schools should therefore be able to deliver data analysis knowledge using tools that students can apply easily and efficiently in any situation, be it quantitative and qualitative marketing or forecasting techniques.

Our future will certainly be saturated with data. The sheer amount of data is measured in volumes difficult to comprehend. But it's not about how much data you have; it's what you do with it and how quickly.

Grappling with this messy world of data and putting it to good use will be key to productive and well-functioning organizations and successful managerial careers nearly everywhere: insurance companies, banks, auto manufacturers, airlines, hospitals.

In this online tutorial we show how to teach the tools and techniques commonly used by academics in business schools and analytics programs, including multiple linear and logistic regression, classification and regression trees, advanced tree methods, neural networks, model validation, and model comparison and selection. In addition to statistical methods and data modelling, we will also show some advanced consumer research techniques.

We also introduce new predictive modeling features in JMP 13 Pro, including Formula Depot and Text Explorer.