Coding Seminars

We provide short seminars that cover a variety of coding techniques, which have become an essential element of research productivity in science and industry.

Cutting-edge. Hands-on. Complete.

Public Seminars & Onsite Training

Code Horizons offers public livestream courses and provides on-site seminars, training, and consulting services. We provide participants and clients with a solid understanding of coding methods.

Public Seminars

Code Horizons offers short seminars on a variety of important and timely coding topics. Each course features small group sizes, top-notch expert instructors, and extensive hands-on practice. Participants will use their own laptop computers, pre-loaded with relevant software and datasets provided prior to the beginning of the seminar.

Our upcoming seminars are listed below. Just click on the course titles for detailed information and registration. Please check back periodically for updates. All courses are livestreamed via Zoom. Video recordings of the sessions will be available to participants for an additional four weeks after the end of the seminar.

 

Data Visualization Using R

October 17-19, 2024

The effective use of graphs and charts is an important way to explore data for yourself and to communicate your ideas and results to others. Being able to produce effective plots from data is also the best way to develop...

Instructor: Kieran Healy

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Regression Modeling for Prediction Using Python

October 24-25, 2024

Python is a general-purpose programming language. It is open-source, powerful, and easy to use. Because of this, Python is one of the most popular languages in the world, and it has become indispensable in data science. In this course, we...

Instructor: Edwin Dalmaijer

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Data Cleaning

October 31-November 2, 2024

The management and cleaning of data is essential to the integrity of research findings. Unfortunately, there is little formal focus on how to approach data cleaning. For example, when someone says “you need to clean the data” what exactly does...

Instructor: Bianca Manago

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Introduction to the Analysis of Electronic Health Records

November 7-9, 2024

The widespread adoption of electronic health records (EHR) has generated massive amounts of clinical data with potential to improve healthcare delivery and advance biomedical research. EHRs contain comprehensive patient-level information collected over time, including demographics, disease diagnoses, medical procedures, and...

Instructor: Jesse Gronsbell

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Introduction to In-Depth Interviews

November 7-9, 2024

In-depth interviews play a vital role in the social sciences and applied research. Interviews offer a powerful tool to understand people’s accounts, experiences, narratives, and attitudes. While they are commonly a stand-alone research method, in-depth interviews are also frequently combined...

Instructor: Corey M. Abramson

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R for SPSS Users

November 21-22, 2024

In just 8 hours (over 2 days), you will learn how to convert SPSS workflow into R code from the perspective of an instructor who is a long-time user of both programs.  SPSS users in the social sciences and other...

Instructor: Christopher L. Aberson

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My First R Package

December 5-6, 2024

Writing R packages is the perfect way to level up your programming skills while unlocking many benefits. Doing so can enhance your productivity by reducing the need to rewrite similar code over and over. R packages improve the portability, replicability,...

Instructor: Vincent Arel-Bundock

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Introduction to Agent-Based Modeling

January 15–17, 2025

Check out Professor Smaldino’s post on the Code Horizons blog to learn how models can provide insight into human behavior. Understanding the behavior of complex social systems is tricky. Mathematical and computational models are used by a wide range of social...

Instructor: Paul Smaldino

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Reproducible Reports with Quarto and R Markdown

January 23-25, 2025

Reproducible reports provide a means to combine the code that produces a data analysis with the actual document that reports on that analysis. For most researchers, the work of doing analysis and writing up a report or paper about that...

Instructor: Aaron Gullickson

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Python for R Users

February 6-7, 2025

R is a free and open-source language for statistical analysis that is widely used across industries and disciplines. For many, R is the go-to source for data analysis and data visualization. There are several important areas, however, where Python (which...

Instructor: Adam D. Rennhoff

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Introduction to R for Data Analysis

March 12-13 & 15, 2025

R is a free and open-source package for statistical analysis that is widely used in the social, health, physical, and computational sciences. Researchers gravitate to R because it is powerful, flexible, and has excellent graphics capabilities. It also has a...

Instructor: Andrew Miles

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Interpreting and Communicating Statistical Results with R

March 27-29, 2025

Check out Dr. Arel-Bundock’s blog post, where he describes using the marginaleffects package for R to analyze a 2×2 factorial design. This seminar is designed to help you tackle the challenges of understanding and conveying complex statistical results. Coefficient estimates...

Instructor: Vincent Arel-Bundock

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Interactive Visual Dashboards Using R Shiny

April 30-May 2, 2025

Solid statistical analysis, on its own, is no longer sufficient. Providing key decision-makers with the information and analysis they need often requires presenting complex concepts in a visually appealing way. Interactive dashboards are a great way to accomplish this. Interactive...

Instructor: Adam D. Rennhoff

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