Introducing Code Horizons

January 24, 2020 By Stephen Vaisey

We are thrilled to introduce a new addition to the Statistical Horizons family — Code Horizons. This new initiative emerges from a simple realization. When we do our research, most of the things we actually do are not things we learned in graduate school. These include writing scripts to parse textual data, creating effective visualizations, making reproducible reports so that others can use our code and replicate our results, creating HTML5 slideshows and websites, and learning new languages like R or Python. More than ever, proficiency at “coding” (broadly defined) has become an essential element of research productivity in science and industry.

Personally, these are skills that I have had to learn largely on my own. Unfortunately, this usually involved a ton of painful trial and error, false starts, and dead ends. Wouldn’t it be great if that pain could be reduced, or even eliminated?

Our goal at Code Horizons is to help you get up to speed quickly on these vital skills so you can keep your focus where it belongs — doing your research.

We are just getting started, and we plan to offer many courses in the coming months and years. For now, we will be launching with two new courses — Python for Data Analysis and Workflow of Data Analysis (featuring both R and Stata). We will also continue to offer such essential courses as Data Visualization, Text as Data, and Statistics with R. Our aim is to help you learn the skills you need in an efficient and affordable way in order to rapidly increase your productivity. 

As Director of Code Horizons, I am really excited about these new courses, and I will be attending them myself. Watch this space for more developments in the coming months!


2 Responses

  1. Adam says:

    This is a great initiative! I must admit that I was slightly disappointed to not see a SQL course being offered, however. I hope that’s a future offering!

  2. Puneet says:

    This is a great concept and I couldn’t agree more with your rationale.

    Please consider an online version of these (and of your other) courses. I’m at a teaching school and my schedule makes it impossible to attend in-person sessions. The (intellectual) desire to learn new methods but not being able to (due job-related tasks) is quite frustrating. Cost is not an issue. I’d pay out-of-pocket for quality material and instructors. In my opinion, there is a lack of online platforms for learning econometrics and you’ll are uniquely poised to take advantage of such a gap.
    Thanks,
    Puneet

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