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

Understanding data and effectively presenting model results are challenges that data analysts face almost 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 that will be useful in most every research project. These range from exploratory data visualizations that help you understand your data—to visualizations of complex models that can help translate results to a broad audience.

In addition to learning data visualization tools in Stata, this course will also equip you with a set of structured prompts to use with your Large Language Model (LLM) of choice. LLMs like ChatGPT or Claude can serve as invaluable “research assistants” but need to be prompted in a skillful way to maximize their usefulness and avoid pitfalls. You will learn how to use LLMs to help write code, fix errors, customize graphs, and check your figures follow best practices for accessibility and effectiveness. Explicit discussion of LLM prompting will comprise approximately 15-20% of course time.

Topics covered range from exploratory data analysis techniques to methods for presenting complex model results. Applied exercises will help you implement the techniques we cover in Stata. Additional template Stata code will be provided, allowing you 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 you about best data visualization practices generally—and specific ways to implement these using Stata.

We will use ChatGPT and Claude for course examples of LLM prompting, though most LLMs can be used for the purpose of aiding data visualization.