Comparision between web development vs. data science

On the surface, data science and web development look like an unlikely pair to draw comparisons to one another. After all, what has the science of analyzing and interpreting data got to do with developing images and content on websites, based on the client's requirements?
Yes, data science and web development are far from congenital twins. They can be likened to not even siblings or cousins, but more to neighbors.
Let us get going then, on how data science is different from web development:
Characteristics: A combination of technology, algorithms and statistics make up data science, which is all used to analyze data. On the other hand, web development is mainly about putting in the right design elements through tools and technologies such as html, CSS, etc. to make the website carry out its functions as the face of the organization.
We talked about the convergence between the two. Now, here is where this happens: once an organization's creative and technological brains create a functional and well-designed website, data science takes over. As businesses become more E-based, data science comes in to analyze the various aspects of the website to help deliver results for the organization.
Nature of work: A web developer uses languages such as html, JavaScript, CSS, etc. to develop websites. All the elements of a website, such as UI, user friendliness, layouts, frameworks, etc., have to be made to work together in the right fashion and proportion. So, this involves not only the use of technology, but also a lot of creativity. It also involves coordinating closely with copywriters, content writers, coders, marketers, and so on, so that the website drives business and is very effective from all perspectives.