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.

 

Introduction to In-Depth Interviews

March 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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Stata Basics

April 25-26, 2024

 In just 8 hours (over 2 days), you will gain the skills to efficiently and effectively use Stata. This will also give you enough background to take other seminars and pursue your training further. This seminar will provide a comprehensive...

Instructor: Bianca Manago

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Analyzing Text Data Using Sentiment Analysis

May 30-31, 2024

In just 8 hours (over 2 days), you will learn various approaches to analyzing sentiment in text, when to use each, and how to report your findings to your audience.  Sentiment analysis has long been an invaluable tool for business...

Instructor: Marcus Mann

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Introduction to R for Data Analysis

June 4-7, 2024

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

June 18-21, 2024

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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Introduction to Python for Data Analysis

June 25-28, 2024

Python is one of the most popular languages in the world. It is a general-purpose language, but also highly user-friendly. This makes Python a very powerful tool, with a relatively easy learning curve. It is also open-source and supported by...

Instructor: Edwin Dalmaijer

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Designing Effective Online Surveys

June 25-28, 2024

The Internet has revolutionized survey research. Web-based surveys are now used in many disciplines, and for good reason. Compared to traditional paper-and-pencil and face-to-face modes of data collection, they make it easy to randomize question order, skip irrelevant questions, include...

Instructor: Andrew Miles

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Workflow of Data Analysis

July 9-12, 2024

Data management and analysis are difficult. Without a structured and systematic way to approach these processes, they are even harder. Additionally, scientific advancements and research progress depend on replication and reproducibility. Since there are dozens of decisions that go into...

Instructor: Bianca Manago

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Data Visualization Using Stata

July 23-26, 2024

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...

Instructor: Trenton Mize

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Data Wrangling with R

July 30-August 2, 2024

R is a free and open-source package for statistical analysis that is widely used in the social, health, physical, and computational sciences. R is powerful, flexible, and has excellent graphics capabilities. It also has a large and rapidly growing community...

Instructor: Kieran Healy

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