Top instructors for statistical coding methods
With the top-notch instruction from field experts, cutting-edge methods, and hands-on experience you’ve come to expect from Statistical Horizons, Code Horizons provides researchers with the coding tools necessary to complete accurate, replicable, and visually interesting data-driven projects.
Cutting-edge. Hands-on. Complete.
Take your statistical coding to the next level
More than ever today’s researchers need coding skills to collect, organize, analyze, visualize, and communicate their data. Yet most of us are never trained in these vital skills. At Code Horizons, we help you learn the skills you need to take your work to the next level.
Code Horizons is part of the Statistical Horizons family, which was founded by Paul Allison in 2005. Since then, we’ve helped thousands of researchers learn the latest statistical methods from the top instructors in their fields. Code Horizons delivers the same level of excellence; together, we make sure researchers of all disciplines have the most relevant, well-rounded toolkit possible.
Knowledge. Preparation. Efficiency.
Coding Seminars
Code Horizons offers short seminars on a variety of important and timely coding topics, including Workflow of Data Analysis and Python for Data Analysis. Our short courses are designed to provide thorough instruction with ease, eliminating the need to learn on one’s own or commit precious time to a semester-long course. You’ll leave each seminar armed with the knowledge and preparation to dive right into research projects using your new skill set.
Relevant. Well-rounded. Excellence.
Top instructors for statistical coding methods
When it comes to statistics, a top-notch instructor can make all the difference. At Code Horizons, we only recruit the best. All our instructors are recognized experts in their fields. Equally important, they have the talent and experience to make statistics interesting and understandable to researchers from a wide variety of backgrounds. Take one of our seminars and you’ll see what we mean.