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Learn programming for data science from the best

Coding has become a necessary skill for today’s researchers 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 coding skills you need to take your work to the next level.

Team Science Principles for Data Scientists

September 28-30, 2023

Learn optimal team science tools for engaging clinical and translational investigators in the collaborative research process.

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Extracting and Analyzing Web and Social Media Data

September 28-30, 2023

This seminar will teach you to how to collect, process, and analyze data from the web and social media in a range of statistical analyses.

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Statistics With R

October 4, 6, and 7, 2023

This course is designed as an introduction to R for those who are looking to use R for applied statistical tasks.

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GitHub for Data Analysis

October 11, 12, and 14, 2023

This seminar will familiarize you with using git through GitHub and demonstrate how to integrate GitHub into a research workflow.

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Passion. Experience. Knowledge.

Statistical coding courses from top instructors

Code Horizons coding instructors are recognized experts in their fields of study. They have each published extensively and have many years of experience in research and coding. Most importantly, they are demonstrably excellent instructors with the skills to present coding methods in an efficient, stimulating, and easy-to-follow manner to participants from all disciplines and backgrounds.

Learn R, Python and data science online

Code Horizons will help you learn the coding skills necessary to collect, organize, analyze, visualize, and communicate data through our online coding courses. Our short seminars are designed to provide straightforward and thorough instruction, and cover a variety of essential coding topics, such as Workflow of Data Analysis, Statistics with R, and Python for Data Analysis.

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Our Latest News

New Blog Post

Analyzing Experiments Using the marginaleffects Package for R

Getting the right estimates from a 2×2 factorial design can be tricky. On the Code Horizons blog, Vincent Arel-Bundock walks you through the process step-by-step with his marginaleffects package for R.

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New Seminar

Team Science Principles for Data Scientists

Manisha Desai, Ph.D., will teach data scientists optimal team science tools to improve engagement with non-data scientists in a team setting on Sept. 28-30.
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New Seminar

Analyzing Text Data Using Sentiment Analysis

Join Marcus Mann, Ph.D., for our newest “mini” course Oct. 20-21 to learn various approaches to analyzing sentiment in text, when to use each, and how to report your findings to your audience.
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Free Video

Get Started with R and RStudio!

Steve Vaisey, Director of Code Horizons, takes you through installing R and RStudio, as well as using basic functions, in this hour-long video.

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