Across the past year, I’ve worked with and spoken to people who have strong opinions about what tool to use for data cleaning and visualization. There was the interviewer who did not want me to use Tableau, there was the portfolio builder class where cleaning directly in Excel was avoided, and the recruiter who put

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My original plan with this was to create a bunch of visualizations with Python and continue my work and learning with that language. After an interesting conversation during an interview process, I realized that I have all kinds of tools at my disposal. I can do more than just work with Python. Method So instead,

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One of my first personal projects I worked on was started at the beginning of the pandemic, with a lot of talk about groceries, scarcity, and scares about prices going up due to supply chain and places shutting down to keep the spread minimal. This was before I had really thought about where else I

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Well, it’s another post about women in data. Who would have guessed? The Datathon hosted by WiD is the first data/coding competition I’ve ever registered or competed in at all. I’ve heard about the Kaggle competitions and I believe there’s a website specifically for competitions like for machine learning. Plenty of opportunity, but this was

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I had every intention of writing this on Wednesday and then my statistics final got in the way, so thanks for being patient with me on that! This post is meant as just a space for the things I didn’t get to go over in the rest of the series, but they don’t warrant their

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One of the hardest things for me in the beginning of my journey with data, back when I was working a different field, was that I thought all of my projects and work had to be innovative. Even before, when I flirted with the idea of going into technical writing, I still thought I had

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