Hello,

As the complexity of  problem increases, the concept of Linear programming is very useful for data science developers. Linear Programming is the most effective way to go about optimization and has found its grounding in many applications and has become a core topic during data science training. And goal programming is more like an extension or generalization of linear programming (https://en.wikipedia.org/wiki/Linear_programming) to handle multiple, normally conflicting objective measures. So it is useful for data science.

Hope this helps.

Good luck!!