I have been engaged in the development of IT-related industries for no less than three years, so I will analyze it in detail with you: Is it too late to learn big data analysis at the age of 35?
So is it too late to learn big data analysis at the age of 35? It's not too late. Anytime you can. Good employment prospects There is a shortage of big data technical talents in the current society, and with the development of Internet IT, the current big data talents are also more popular. As long as you have mastered professional skills, you don't have to worry about finding a job.
In fact, it should be noted that for many novices who are considering entering the industry with zero foundation, it is best to argue reasonably with themselves in the face of the choice of institutions, make a correct choice, and compare and understand different types, because the current training institutions are mixed, and there are relatively few really reliable ones, but a reliable training institution is one of the important factors that determine whether we are successfully employed. At present, several well-known big data training institutions have also been sorted out, which can be compared and investigated by themselves.
In any case, we must polish our vision and take a long-term view, of course, it is not impossible to compare from the aspects of teachers and word of mouth.
Take a look at the curriculum. Because everyone's foundation is different, and everyone's interests and career plans and career goals are different, then we must look at whether the curriculum of the institution is based on the students' ability to develop personalized learning courses and course arrangements. This is the only way to enhance your learning experience.
Take a look at the quality of the faculty. You must know that the strength of the teachers of many offline institutions is uneven, because they have relatively many branch campuses, and the faculty of each campus is different from his main courses, so it is impossible to guarantee that the teachers are completely consistent. It is very common to have good and bad, so it is best to avoid it reasonably, and it is best to be able to try out and experience the real teaching style and teaching mode by yourself.
When choosing an institution, it should be noted that there are many enrollment routines of many unscrupulous offline training institutions. In particular, the most common means is the marketing routine of the institution to publicize the teacher. In the face of all kinds of employment and high-salary package distribution, it is necessary to avoid it, knowing that no one institution can provide free employment development, and it is impossible to achieve 100% package employment, because there are many factors closely related. At the same time, in the face of all kinds of learning first, paying later and signing various guaranteed employment, do not blindly believe in learning to shop around, choose carefully, and treat it carefully.