<p>In my opinion cross-validated concerns the theory and methodology of analysing data, e.g. statistics and machine learning.</p>

<p>Data Science, on the other hand is more hands-on and deals with implementation related topics such as data handling, software infrastructures, databases and toolchains. This is particularly true at the start of Data Science.</p>

<p>That said, there is an increasing gray zone between the two. Data Science is receiving more and more questions that, in my opinion, should end up here instead.</p>
