Trying to walk on a rope is pretty hard balancing act. I do want to give a personal view and constructive criticism but any intentional and direct attack towar

Trying to walk on a rope is pretty hard balancing act. I do want to give a personal view and constructive criticism but any intentional and direct attack toward another domain is not my intention. I think statistic is very well equipped to do just data analysis. The discipline have many weaknesses I do acknowledge that but I don't believe data analysis is one of it when it is the core tenet of what statistic is. I believe data science is too new and is still trying to find it's standing. Also it seems like a jack of all trade and a master of none discipline. I don't believe the discipline can be a master of everything including data analysis with all other things it's trying to incorporate. My critique is that for the original post is that there is already a field for data analysis. Just for it, for a century now, it's named statistic. ML/DS is a new breed that is more than just data analysis. Because of this they can do many things but I don't believe they are an expert at any one thing. Which is fine. But I do understand that this discussion is sensitive since people within the DS/ML since that is how they make money and earn a living.