Partially agree, however, based on the training, you could focus on the analyses or interpretation or application or development of algorithm (such as Dr. Ng), I think data science are a general term to use, however, if you really want to find a job that is data related, there is lot of homework to do.
Agree, both of the implementation of the method (coding) and downstream analyses for generating profits (ultimate goal) are important, I do not think one is more important than the other. It depends on you which you are interested.
3. 看似比码工高大上。有数学，有统计，搞好了模型丢给码工去实现。你的职位是
andrew ng那种吗？不是那你high个屁。
Totally disagree, there are big range of jobs/positions/opportunities between the basic data scientist to Dr. Ng, no matter which level you are now, both mathematics, statistics are foundations for modelling. Coding is very important skill to have, for those who understands the methods better, should focus on some convenient tools to put the models into practice, at least for testing phases, for those who have strong skills in coding, should focus on understanding the mathematics or statistics behind so that the coding is more efficient. Do not forget that to commercialize anything, you do need professional software engineers and others to produce a whole package.
The only comments I have is that most of the companies are willing to establish a department like that so that they would not give up this chance to take a lead in their business comparing with others, I do not think it is a bad idea to start to a junior position and it is important to set up a goal where you want to be in five years or more.
"数据统计表明" where? To understand the core values or core business of the company will be far more important than grasping any single skill set you have. No matter which position you are now, coding or data science, if you could identify any area or provide any suggestion which would save a lot of resources for your company, you are the VIP and you will get promoted.
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