Apart from modeling, data scientists spend a lot of time writing. They write to communicate insights, they blog, and they tweet. The number of topics in the domain of data science is exceedingly vast. From NLP to facial recognition, from predicting customer churn to detecting rare deep space events, the bounds of focus are without limit. However, most data science experience involves Python and data collection: rarely do data scientists deal with HTML, CSS, and JavaScript, the so-called web dev _ languages. _ Ironically, this lack of design experience limits the reach of data scientists who might otherwise display their projects in a beautiful portfolio or blog. In reality, making your own data science website or blog is quite easy, despite the upfront fear of CSS and HTML, to such a degree that you can learn all you need in a few days to produce a beautiful personal website.

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