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The data professions (data science, analysis, engineering, etc.) are highly technical fields, and much online discussion (in particular, on this blog!)
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There are many blog posts and think-pieces about the state of data and the data labor market in the US, but far fewer such writings focused on Europe.
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This blog post is the second installment in a series detailing analyses of the 2023 De Gemeente-Stadsmonitor (The Municipality and City Monitor) survey, conducted in the region of Flanders in Belgium.
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What’s it like to live in Flanders these days?
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I don’t normally write about what I do at work (it’s not often allowed), but I’m happy to share a link to a piece I wrote with colleagues about doing data analysis and statistics in the aquaculture sector.
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This post was co-written with Cesar Legendre of Prophecy Labs Exasperated Data Scientists Applying for Jobs.
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In this post, we will return to the dataset containing song lyrics from country and R&B/hip-hop music that we analyzed in the two previous posts.
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In this post, we will return to the dataset containing song lyrics from country and R&B/hip-hop songs that we analyzed in the previous post.
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In this post, we will analyze text data from song lyrics from two very different (yet quintessentially American) musical styles: country and R&B/hip-hop.
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Introduction In the previous post, the intrepid Jesse Blum and I analyzed metadata from over 6,500 job descriptions for data roles in seven European countries.