THE SECOND INTERSECTION IS TRADITIONAL RESEARCH

This intersection is responsible for many discoveries made in the past

Let us have a look at the venn diagram below that gives an overview of the intersection of data science with other fields. The venn diagram was popularized by data scientist Drew Conway as his definition of data science.

In the diagram, we can see that there are three main blobs or circles, each representing some distinct field. Hacking skills can be seen as the domain of computer science and information technology. The second field is mathematics and statistics which provide various rigorous theories as relates to equations and explanations. The last major field is substantive expertise. This can be seen as domain expertise or business knowledge. It includes the underlying business or domain logic peculiar to a specific kind of problem.

The intersection between hacking skills and mathematics/statistics is machine learning. Machine learning relies heavily on techniques in the fields of computer science and mathematics. It is a subfield of artificial intelligence.

The second intersection is traditional research. Traditional research typically utilizes techniques from mathematics and statistics combined with domain expertise to arrive at new conclusions. This intersection is responsible for many discoveries made in the past.

Danger skills can actually be seen as the realm of traditional software development where a person combines knowledge about a business problem and computer science skills such as coding to fabricate software which bring about additional value to a process.