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Diving into Data Analysis

The Automattic Creed starts with this:

I will never stop learning.

I don’t generally need much encouragement to start learning new things, but it’s awesome that learning is part of my job, every single day. Lately, I’ve focused most of my learning on data analysis.

Back in April, I worked with a group of colleagues on doing some basic data analysis related to our team’s work. I didn’t do the number crunching myself (hat tip to Kevin for doing that) but I was involved in framing our questions and coming up with hypotheses, along with helping brainstorm what to do with our findings. It sparked my interest in delving into the data more.

Last month, at our company meetup, I participated in a workshop (taught by a brilliant colleague and data engineer) on doing data analysis with Python and R. Most of my previous work was with qualitative data, so beyond basic statistics things tend to get fuzzy for me. But this workshop helped me find my legs and realize just where I needed to learn more.

So what am I up to now? I started reading Naked Statistics: Stripping the Dread from the Data, on the recommendation of some members of our data team. I’m also committing myself to a couple online classes. This week I started the course Measuring Causal Effects in the Social Sciences, and next month I’ll start Foundations of Data Analysis. We’ll see how I do with those, and I’ll do my best to share some of what I learn here. 🙂


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Happiness Engineer for Automattic, the company behind Linguaphile and Translator. Tester.