Senior coder said that it was late to learn big data technology at the age of 38?
So is it late to learn big data technology at the age of 38? It's not too late, it's okay. Nowadays, there are many advantages of big data talents. Good working environment All enterprises are in spacious and bright office buildings, with a good working environment, and most of the big data talents are working from 9 to 5, making their work easier and their lives regular.
Of course, it should be noted that for many zero-based beginners who are considering entering the industry, when facing the choice of institutions, you must compare and understand the different types by yourself, and do not treat them blindly. Because the current training institutions are mixed, there are relatively few really reliable ones, and if you are not careful, you will fall into the trap, which is more than worth the loss, but it is not possible to deny a professional and reliable training institution, he can determine our subsequent employment development. At present, several well-known big data training institutions have also been sorted out, which can be compared and investigated by themselves.
In the face of the choice of institutions, we cannot treat them blindly and sloppily, let alone blindly follow the trend, so it is not impossible to avoid and judge from the following points.
Understand word of mouth. When choosing an institution, don't recruit teachers, saying that this institution must be worth choosing, because of the word-of-mouth situation, his actual situation and publicity There is some input, and many institutions are also prone to false publicity. Then it is best to experience it yourself and understand it clearly, and you can also find real graduates to understand everyone's word-of-mouth feedback. If the recognition and feedback of the students of the institution are relatively high, then it shows that his real materials are indeed more trustworthy.
Take a look at the curriculum. A professional and reliable training institution, its course content is definitely relatively personalized, and it is also based on the specific needs of students and the specific actual situation of students to make a different course system. Be sure to understand the quality of the institution's courses and whether the course schedule can make you understand whether you can learn and understand whether you can adapt to the corresponding level.
Find out about the faculty. For the teacher's teaching style and teaching mode, it is best to try it out and experience it yourself. Because the strength level of teachers can affect the technical development of students, but there are relatively many offline sub-campuses, it is impossible for us to guarantee that the strength of teachers in each campus is completely consistent, and these are all things that can only be known by relying on their own real experience.
The advantages and disadvantages of an organization are different in everyone's eyes, so what is suitable for others may not be in line with their own. For zero-based beginners, it is also necessary to pay attention to avoiding the marketing routines of various offline bad training institutions. In the face of all kinds of package employment, high-salary package distribution and the so-called various guaranteed employment, you can avoid it, don't blindly believe it, because not all offline institutions are reliable enrollment routines, and many of them are best distinguished by themselves. Then, in the face of various loans to learn, do not blindly contact, the later interest of the loan is very high, it is best to learn to shop around carefully and treat it carefully.