Shulou(Shulou.com)06/03 Report--

The IT industry is developing fast, the market demand is big, and the programmer salary is high, the welfare treatment is high, become the profession that many practitioners aspire to, of course, also stimulate a lot of non-computer professional practitioners to enter this field. Changing careers to enter the IT industry has been a hot topic in recent years, so what foundation does it take to enter big data's development industry for students with a foundation of 0?

In the eyes of many people, big data is a high-end industry, and when they think of IT and data, many people begin to struggle to learn whether the development of big data needs math, English and other basics. Is it impossible to really understand big data development on the basis of 0?

First of all: mathematics and English are not restrictions, logical thinking is the key.

Learn program development, enter the field of IT to have a certain logical thinking ability, and logical thinking ability is not inborn, can be improved through training. In the process of learning programming, we don't have to wait until we fully understand everything before we practice it. As long as we understand about it, we should dare to experience it ourselves. Everyone has a first time. Some problems can only be understood through practice, and only practice can turn the knowledge of teachers and books into their own.

It is also worth noting that learning a language or development tool, syntax structure, function calls are secondary, the most important thing is to learn its ideas. For example, to learn VC is to learn the internal mechanism of Windows, what is threading. To learn COM, you need to know that the key to VTALBE, class factory, interface, and idl., is to learn an idea. With ideas, then we can follow the analogy.

Here I still want to recommend the big data Learning Exchange Group I built myself: 251956502, all of them are developed by big data. If you are studying big data, the editor welcomes you to join us. Everyone is a software development party. Irregularly share practical information (only related to big data software development), including the latest big data advanced materials and advanced development tutorials sorted out by myself. Welcome to join us if you want to go deep into big data.

Secondly: hard work is the most important foundation.

To learn an IT technology, the most important foundation is your own efforts. After all, in the process of learning, programming will make many people feel boring and impatient, and when typing a program, an error in one symbol will paralyze the whole program, and you, have enough patience, do you work hard enough to stick to it?

Below, we can understand in detail, 0 basic learning big data development how to learn? How can we complete the transformation quickly?

At present, many practitioners with programming experience have entered the field of big data through self-study. For people with 0 foundation, self-study is difficult, without guidance, it is easy to get stuck in a certain problem, there is no progress for a long time, or the progress is slow, the most likely result is from getting started to giving up. Basic programming still needs the guidance of a teacher in order to get on the road quickly. Therefore, many basic students choose to study by participating in big data's training course. After all, there are many advantages in this way of learning.

First: systematic courses + experienced lecturers

Basic study big data development must be systematic study, after all, there is no foundation. Without a systematic curriculum, it is not conducive to the efficiency of learning, nor is it conducive to the formation of a complete knowledge system. In addition, big data contains a lot of content, 0 basic students if there is no special teacher to learn, in the learning process will encounter a lot of bottlenecks, thus reducing the efficiency of learning. 80% of the time is wasted.

Second, tests and training programs to ensure learning efficiency.

In the process of learning, not only need to work hard to learn, but also need to constantly review. However, many students are often unable to find a direction when reviewing, and this requires regular tests to help students test their learning effect. of course, it can also provide a direction for students to review.

For the operation of the training project, not only let the students improve the actual combat ability, but also let the students find their own deficiencies in the real training projects, so that they can review, improve and improve themselves in time.

Entering the field of big data is regarded by many people as an opportunity to achieve their own rapid development, but no one can eat into a fat man at once. Learning must be down-to-earth.

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