Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 4-Day Livestream Seminar Taught by Trenton Mize, Ph.D.

Understanding data and effectively presenting model results are challenges that data analysts face most every day. There is seldom a more effective solution than a well thought out visualization. Problems in the data are easily identified; complex effects are quickly summarized; effect sizes and variability are immediately clear. In this seminar, we will cover best practices for accurately representing data as well as many specific approaches to data exploration, model diagnostics, and model presentation.

The primary focus is on the applied analyst’s “bread and butter” types of visualizations: those I suspect will be useful in most every research project. However, we also cover more advanced visualization methods.

Topics covered range from exploratory data analysis techniques to methods for presenting complex model results. Applied exercises will help participants implement the techniques we cover in Stata. Additional template Stata code will be provided to workshop participants allowing everyone to reproduce all workshop examples.

The seminar will use Stata. Stata is widely-used to clean, examine, model, and visualize data. The data and model visualization capabilities of Stata are impressive yet vastly underutilized by most users. This seminar will teach attendees about best data visualization practices generally—and specific ways to implement these using Stata.