Unless you’re a beginner with a stat software package, you can learn a statistical topic from a workshop or book that teaches everything in a different package.
But it’s not ideal.
So in 2017, we’re changing how we teach our statistics workshops* to support more software options, starting with this month’s workshop, Analyzing Count Data (which includes software demos for SAS, SPSS, and Stata).
Each module will feature a live webinar lecture (along with all the supplementary material — code, exercises, Q&As, etc.).
This lecture used to include all the statistical concepts, the steps to implement, and a demonstration in one or more software packages.
Now we’re splitting those things up so that you have easier access to the software support you need.
The live webinar lectures are now entirely about the concepts and steps. They will still include examples to show you how the concepts and steps work in different data sets. And you may see software output in those examples, but there will be no how-to-get-the-software-to-do-this in the live webinars.
Instead, we’re giving you additional downloadable videos and code files that demonstrate how to run each example in a specific software program.
These demonstrations really dig into the details of the software — what various options mean, and when (and when not) to use them, and how to produce helpful graphs or output.
We also give you the code that you can download, save, and edit for future use in your own data analysis.
Each of the software demos is taught by a specialist in that software. Our software specialists will also join the instructor during our Q&A sessions and be on the forum to answer all of your software-specific questions.
We’ll always tell you which software is covered for each workshop in our enrollment materials.
Want to check out our first workshop with this new approach? Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models starts in just 2 days — and it includes support for SAS, SPSS, and Stata.
*There are certain skills in statistics that are software specific, like graphing or data cleaning. They are so integrated with the software that they need to be taught together. When we teach workshops on those topics, the software we’re using will be right in the title.