How to choose a big data training institution

At present, big data training is very popular. It is this reason that leads to the proliferation of big data training institutions in the market. For those with programming foundation, how to choose a big data training institution is still easy, but for those with zero basic knowledge. It's really a headache to say, how to choose, let's talk about it briefly!

Nowadays, people pay more and more attention to paid learning, and everyone will not be stingy with their own investment, especially in improving their own abilities. The same is true for big data training. It should be a normal thing to sign up for a training course, but you must pay attention to the following issues when choosing a big data training institution.

1. Face-to-face

As a relatively technical major, big data needs to learn a lot of knowledge, especially the basics of programming languages, especially for those with zero foundation. It is essential for professional teachers to teach by hand, so that you can ask questions in time. , face-to-face communication is many times better than online remote questioning, please pay attention to this.

2. Teachers

A lecturer who has no experience in large-scale projects at all, no matter how many times he has trained teaching skills and how high his speech level is, it can be said to be useless for your growth. Big data is an industry that requires practical level, a purely theoretical school. It is impossible for the lecturer of the project to explain the core of the project to you clearly. Therefore, before you choose a big data training institution, you must come to the door to chat with the lecturer face-to-face, and if possible, try to bring friends with relevant technologies to verify the level of the lecturer.

3. Word of mouth

There is no need to say more about this. I believe everyone knows how to understand the reputation of this big data training institution. It is not difficult to say, but it is not easy to say. It is best to have friends in the circle or find a way to recognize the students who have already learned to understand in many aspects and not to believe too much in one-sided words on the Internet.

Finally, put a picture. The Gami Valley data analysis and mining training course will start on the 18th of this month. Welcome to consult and listen to it!

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