Is it possible to train big data in 4 months?

1. Self-study. Those with strong learning ability and a certain development foundation can try to learn by themselves, although it is a little difficult, but there are still some students with strong learning ability who can learn through self-study, and self-study is generally based on their own fragmented time to learn, and the time will be relatively long. Advantages of self-study:

There is no real enterprise project to be trained.

Second, the internal learning of the enterpriseThe internal cultivation of manufacturable materials within the enterprise is led by technical personnel, and the learning time depends on the situation of the enterprise. Advantages: Quick to get started, someone to bring, no need to pay fees Disadvantages:

There are few opportunities, and most students don't have such opportunities.

3. Offline training and learning. The offline training duration is 5-6 months. Some students may ask why there is no online training.

For learning big data technology, the current online training can not guarantee the quality of students' learning, if you can learn big data technology, then you don't need training, you can learn through self-study! Because you belong to the small group of people who are strong learners.

Generally speaking, the learning time of big data face-to-face class is about half a year, big data is relatively more suitable for people with a foundation to learn, people with a foundation will learn faster, when choosing a big data training institution, focus on understanding the reputation of the institution, in addition to word of mouth, but also have a deep understanding of the institution's curriculum system, employment, expenses, etc., compare several institutions, I hope you will learn as soon as possible.

Most of the training time is four months, if you want to get a job, you must learn the technology, be proficient, and find a job is not a problem, and big data is the development trend at present.

After all, everyone has a different way of receiving information, and no matter how good the teacher's skills are, if they can't effectively convey it to students, it is useless for students, so it is recommended to find the most important thing for them after the audition.

Hello, this is a local enterprise, more than ten years of time, rich experience, but also a proof of technology.

Big data training for two or three months is unreliable. Big data training is generally about 5 months in the current market. Professional big data training institutions are definitely reliable in terms of overall knowledge structure and timeliness.

When choosing a big data training institution, students should also pay attention to the specific training methods.

There are two main forms of big data training, one is online self-learning, and the other is offline teaching. If you have a certain foundation in python or artificial intelligence, you can try to learn by yourself. Joining lacks a certain amount of self-control and learning methods, and the university is not a computer major or has zero foundation.

Big Data in-person classes will be a preference.

1. Students should learn about the reputation of this training course through the current or previous students, and of course, you can also find training evaluations about this big data on the Internet. The word-of-mouth evaluation of any training institution is a side reflection of the quality and reputation of the teaching.

2. The level of lecturers must be paid attention to, professional big data training institutions will hire high-level lecturers to teach, such lecturers have practical experience in the project of first-line manufacturers, and may also be engaged in front-line work for several years, these reference factors can reflect the overall strength of a teacher. Therefore, students must pay more attention to the overall situation of the teacher before signing up.

3. Carefully look at the course content arrangement of the institution, professional big data training institutions will not always use a set of courses to teach students, because the technology and framework are constantly upgraded, so the course content will definitely change.

If the trainees can't determine whether the course content of the training course is more cutting-edge content in the industry through their own channels, they can check what are the requirements for the big data talents recruited by well-known Internet companies, and then make a comprehensive and effective analysis based on the course content of the training course.

For 0 basic students, learning big data is not so simple, such as learning big data, it is recommended to choose [Danai Education].

Learning big data starts with the following:

1. Build interest.

In the field of IT technology, the learning of theory is a long-term boring process, especially big data, before the real big data practice, it is necessary to complete the learning of the entire technical system and build a complete [big data technical knowledge] system. Interest is the core motivation that allows a person to continue to pay attention to a thing, and interest can also be cultivated, if you want to learn big data, you must first have a deeper understanding of big data, and find your own interests.

2. Be down-to-earth.

The high salary in the big data industry is the driving force that attracts many people to enter the industry, but the premise of getting a high salary is to have excellent technical strength. Whether it is zero foundation or others, as long as you want to learn big data, then you need to invest the corresponding time to learn related technologies solidly.

3. Seize the opportunity.

Big data is developing rapidly, the industry is changing rapidly, and big data talents with real industry experience are more favored. Zero-based learning big data, starting point is low, but there is a lot of room for growth, master solid technology, enter the industry quickly, grow in the industry, and accumulate experience, in order to get better development opportunities. If you are interested, click here to learn for free.

If you want to know more about big data, we recommend consulting [Danai Education]. Danet has established project cooperation with internationally renowned manufacturers such as Alibaba, Adobe, Red Hat, Oracle, Microsoft, Computer Industry Association (ComPTIA), etc. Jointly formulate industry training standards, provide high-end technology for Danai students, and the courses they learn are recognized by international manufacturers, so that Danai students can be more competitive in international employment.

Danai IT training institutions, the trial quota is snapped up for a limited time.

It's not difficult, as long as you study seriously. Nowadays, all high-paying jobs will not be very simple, but if you have a perseverance and insist on learning big data well, then the teacher will also have the perseverance to teach you well, and in fact, developing a good study habit and falling in love with learning is the most important thing, here you need to overcome your previous learning shortcomings.

As we all know, the fastest way to learn a technology is to find a professional dust teacher to guide you, go to a professional training class for systematic training, and learn big data is the same. Many netizens want to know how to choose a big data training institution, is it useful to learn big data, the answer to this question, Peking University Jade Bird will talk in detail, how to choose a big data training institution, is it useful to learn big data, this question, answer the questions in everyone's mind.

1: Everyone goes to participate in the training to learn knowledge, so the first teacher who teaches you must be professional, and the famous teacher can be a high apprentice. How to choose a big data training institution, first of all, it depends on the strength of the teachers, high-quality teaching, professional teachers, and whether the lecturers have many years of work experience in famous IT enterprises and rich project experience, which are all things that need to be focused on by us, which is very important.

2: Then it is to look at the employment service, to see whether the institution has professional employment guidance, whether it can analyze the market employment situation in real time and give accurate analysis, and whether it can promote high-quality employment of students. After all, when we learn technology, the ultimate goal is to find a job and solve our own practical problems.

3: The above two points are the key issues to be paid attention to when choosing a big data training institution. Of course, it is useful to learn big data well, but at present, there is a great shortage of talents in this industry, and first-tier cities have reached the point of labor shortage.

Scarcity is expensive, and the salary is also very considerable, and the monthly salary of senior big data engineers starts at 20k.