Three-year code farmer tells you: Is it too late to learn big data at the age of 34?
So exactly: Is it too late to learn big data at the age of 34? It's not too late, it's okay. The entry and entry barriers to learning big data are actually not that high, and age is not the reason why we can't learn technology. It is relatively easy to find a job by learning big data, and the practicability of big data technology is relatively strong. With the development of modern economy and science and technology, the current big data technology talents are indeed relatively promising. I have to say that it has a lot of job demand, which is basically in short supply, and it has attracted countless people to change careers with its high salary. In fact, if you want to find a good job, it is indeed good to study big data.
However, it should be noted that for many people who are considering entering the industry, because everyone's basic strength is relatively lacking, they generally want to choose a reliable institution to improve their learning efficiency, so in the face of the choice of institutions, it is best to compare and understand different classes by themselves, so that they can have one more choice, because now many institutions are mixed, and there are relatively few really reliable ones, so in order to avoid falling into the trap, it is best to treat them carefully. At present, we have also sorted out several well-known big data training institutions, and you can compare and understand them by yourself.
Then, in the face of institutional selection, it is not impossible to avoid and judge from the following points.
First of all, let's understand the cost-effectiveness of tuition. The cost performance of the institution's tuition fee is different for everyone's affordability. Moreover, the cost of many offline institutions is relatively high, generally about 2-30,000. We must plan and consider it in combination with our actual economic level, don't just focus on the cost performance of tuition, and feel that the more expensive the tuition, the more worthy of choice, because the tuition fee does not represent its quality level, it is relatively passable.
Take a look at the quality of the faculty. Pay attention to the strength level of the teacher and the teacher's teaching style and teaching mode, after all, a professional and reliable training institution is indispensable is a professional teaching team, only the teacher's strength level is relatively passable, in order to ensure that the students learn to succeed, twice the result with half the effort. If you choose a campus by yourself, and you can't even guarantee the strength of your teachers, then you will definitely not be able to learn such technical strength, and you won't need to talk about subsequent employment development. For the quality development of teachers, we must be cautious about ourselves.
Find out about the employment situation. The quality of the employment rate of every institution is basically up and down, and you must not blindly believe that any 100% employment is done, because this is not what no institution can do, it is just a propaganda statement.
In fact, learning technical skills is indeed a good choice, after all, it is able to improve their competitiveness, so for Xiaobai, in the face of institutional choice, do not blindly believe in the so-called marketing gimmicks and enrollment traps, because now many offline institutions are unreliable, not completely worthy of trust, the so-called various package employment and high-salary package distribution are a kind of enrollment routine, we must learn to shop around carefully, cautious treatment.