DATA ANALYSIS, PREDICTIVE MODELING, AND DATA MINING COURSE SERIES

Introduction to Predictive Modeling

This short course gives an overview of predictive modeling and how it can be used effectively in an organization. We describe some common uses of models, the importance of data extraction and data quality for building models, common modeling techniques, software tools, and some challenges and pitfalls to be aware of when starting a modeling project. The course is useful for management and executives who want to better understand how modeling can help their organization, and as an introductory course for analysts new to predictive modeling. 2-3 hours.

Predictive Modeling I: Basics of Data Analysis and Predictive Modeling

This introductory course covers basic methods for performing exploratory and descriptive data analysis, graphical data analysis, and for building predictive models. Common statistical procedures for testing hypothesis and making estimates are also discussed. This course is beneficial to business and quantitative analysts looking to perform more in-depth data analyses and better understand their data, and those with more formal statistical training but little hands-on experience. 2 Days.

Predictive Modeling II: Advanced Modeling Techniques

Building good predictive models requires a wide range of analytic techniques and skills. This course is for those who want a more in-depth understanding of designing, developing, and building predictive models. It covers each step in the modeling lifecycle in detail, as well as a number of advanced statistical modeling techniques such as regression, survival analysis, and Markov chains. Students will be able to build more accurate and more advanced models as a result. 2 days.

Data Mining: Introductory Short Course

This course is an executive overview of data mining techniques and how they can be used effectively within an organization. This can serve as an executive-level impetus to kick-off data mining projects or investigate the potential for data mining, or to lay the groundwork for more advanced courses in data mining and predictive modeling. 2 hours.