Data science and ethical hacking can be two completely different domains. However, some essential skills do overlap which often leads to the idea that Data science may promote learning in ethical hacking.

To understand this point in detail, we should throw light on all these overlapping points and then we would highlight the differences between the two domains.

• Ethical hacking and Data science both leverage important algorithms to break through a complex problem.

• Both these domains make use of high computing power to run algorithms and mathematical computations.

• The domains are highly dependent on analytical and statistical skills.

• The libraries which run a set of code to perform a task without much coding are seen to be intertwined and shared among both these domains.

Having analyzed these domains for their similarities, let us now highlight the differentiating factors between the two.

• Ethical hacking leverages IT skills from Networks, TCP protocols, Databases to front-end vulnerabilities. This range is totally different from what we witness in Data Science.

• Data science leverages algorithms and libraries which are modified as per the domain in consideration. Ethical hacking is less dependent on Industry domains and the set of rules and procedures are often similar across domains.

• These two domains can be fairly different when we consider the techniques used to arrive at a solution.

• Ethical hacking might not be as data-dependent as Data Science. This is an essential difference between the two domains which need differentiated treatments.

We have not analyzed the overlapping factors and the differences which need special treatment. Getting a degree in Data Science does not guarantee detailed learning ethical hacking. One needs to take a focused course to target these two domains.