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.
October 1-3, 2020
This seminar combines both an introductory and intermediate course in Python, a free, open-source language that has a simple, easy-to-understand syntax and an incredible range of data analysis and visualization libraries.
October 22-25, 2020
This seminar is an intermediate course on statistical computing with Python. The goal is to get participants to learn about advanced data analysis and visualization applications of the Python language.
Introducing Computer Assisted Qualitative Data Analysis – Remote
Stay tuned to hear about our newest seminar, Computer Assisted Qualitative Data Analysis, coming this December!
New Dates Coming Soon
Don’t miss out on the next offerings of popular seminars like Statistics with R. Email email@example.com to be added to the waitlist and be the first to hear about updates.
Passion. Experience. Knowledge.
Learn From The Best
Code Horizons 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.
Our Latest News
One of our senior instructors would be happy to talk with you (by email or phone) about finding the best fit for your background, interests and needs. Email firstname.lastname@example.org to set up your recommendation session.
Including Software for Qualitative Data Analysis, Collaboration and Reproducible Reports using R & GitHub, Programming Surveys in Qualtrics, Intermediate R Programming, and Data Management with SQL.
Back By Popular Demand
Introduction to Python for Data Analysis taught by Jason Anastasopoulos will be offered as a 3-day remote seminar via Zoom on October 1-3.