People come to say: Is it too late to learn big data analysis at the age of 33?
So: Is it too late for a 33-year-old to learn big data analysis? It's not too late, it's okay, it's okay to learn technology at any time, it's not too late, because the practicability of big data technology is relatively high, and the current social development is also more inclined to the Internet, and the salary of big data is also relatively high, so it has also attracted many people to develop related industries.
However, it should be noted that for many zero-based novices who lack technical experience, when considering entering the industry, they must compare and understand different types by themselves in the face of the choice of institutions. Because a professional and reliable training institution can not only improve our learning efficiency and learning results, but also determine our subsequent employment development. However, the current training institutions are mixed, and there are relatively few that are really reliable. At present, several well-known big data training institutions have also been sorted out, which can be compared and investigated by themselves.
It is not impossible to compare and understand from the following points.
First of all, learn to understand the word-of-mouth development of the institution. Because not every institution, only if the teacher says it is good, he must be good, because there are definitely some discrepancies between the actual situation and the publicity, so the most effective way is to find the real and graduate students who have experienced it to understand everyone's real word-of-mouth feedback and evaluation.
Find out how you learn. It is best to look at whether the institution provides personalized learning methods and the proportion of theory and practice in what form of learning is carried out, because everyone's learning effort is different from the degree of acceptance and adaptability of the family, and it is important to choose the teaching level and learning experience that meets the level of teaching and learning that you can adapt to.
Find out about the employment situation. Training and learning are all for the ultimate employment development, so we must pay attention to the employment situation of the institution and choose a relatively high quality employment rate. But when it comes to finding out about employment, don't blindly believe that any 100% of them are employed, because these are basically false.
In fact, no matter what choice you make, you must understand that not all offline institutions are worth choosing, so in the face of the marketing routines and enrollment traps of various offline institutions, you must learn to avoid them, and don't blindly believe in the so-called package employment and high-salary package distribution. Of course, due to everyone's different financial ability, there are many small partners who are always easy to fall into the trap of loans. In the face of all kinds of zero yuan enrollment and learn first and pay later, you can avoid it, because these are a disguised loan learning is not desirable, and it is not necessary, learn to shop around and be cautious.