Previous Webinars

If you missed any of my previous webinars, you can watch them here.

My first webinar was on Forming Collaborative Relationships with Statisticians. This webinar describes a framework for creating a strong working relationship between a researcher/subject matter expert (that's you!) and a statistician. This framework will serve as a basis for my approach to all future topics. If you are new to working with a statistician, this webinar will help you understand what to expect.

My second webinar was on Thinking About Data. Did you know that the *type* of data you are collecting (numeric, categorical, and all kinds of subtypes) is one of the major deciding factors in the type of statistical analysis you can use? This webinar covers quantitative concepts, but is appropriate for data and statistics "beginners." Those who are a little more advanced, but feel that they struggle with the situation when their data don't meet the assumptions of "basic" modeling approaches (e.g., t-tests, linear regression, ANOVA), will likely also find this helpful!

My third webinar was on Framing Questions for Data Analysis. Research questions (and other questions that require data to answer) are the starting point and backbone of data analysis projects. These questions are a large part of what guides us through the process of deciding on an analytical approach. Sometimes, though, it can be difficult to translate your actual questions into something that can be addressed through numbers and analyses. This video will help you learn more about how a statistician or data scientist thinks about these questions (and the related concept of hypotheses) in the context of a collaborative project.