1. Is the organization formal?
The simplest thing is qualification, whether there is teaching qualification, what is the situation of the equipment in the class place, whether the registration information can be found, and whether the admission standard is very low.
Second, the course content setting
Does the big data course meet the requirements of employment recruitment enterprises? From the perspective of the whole course, the connection between the course and the enterprise is the first criterion to look at.
The purpose of learning big data is to find employment. If the curriculum does not meet the recruitment requirements of enterprises, students will not meet the recruitment requirements of employment enterprises after studying, which means wasting money and time.
Generally, online meetings have corresponding outlines for in-depth study.
Third, the teaching staff.
More experience, strong technology, strong teaching, and more teaching and research personnel are the focus of investigation! Does the teacher have 8 to 10 years of project and teaching experience? On the premise that the course can meet the needs of enterprises, the teaching staff is an important part to ensure the learning effect of students. If the teaching staff does not have 8- 10 years of experience and the number of teachers is extremely small, the learning effect of students will certainly not be guaranteed. Even an excellent lecturer has his own good direction, so it is very important to combine teaching with teachers and let students learn from others in a limited time.
In the teaching of big data training, teachers must have rich experience, solid technical foundation and strong teaching ability. Strong skills and weak teaching ability also mean that students cannot be taught well. Therefore, it is very important to choose a training institution with more teachers' experience, strong skills, strong teaching and more teaching and research personnel to inspect the teaching staff.
Fourth, the project actual combat training
Practice is the only criterion for testing truth, and it cannot be put into practice on paper. Therefore, participating in big data training must be carried out in actual combat training. Scholars can only deal with it calmly in the interview, and then carry out the later work after practical exercise in the project. Of course, the actual training time of the project is related to the difficulty and quantity of the project. The project is difficult and there are many projects, so it takes a long time to complete the project, but you must practice the project.
Verb (abbreviation of verb) employment rate
The purpose of learning big data is to find a job. Without strong employment resources and employment recommendation, where can students find jobs? To know the employment rate of an organization, we can not only listen to the opinions of the insiders of the company, but also learn more about it on the Q&A platforms such as Post Bar and Zhihu.
In fact, there are many aspects in choosing institutions, such as whether the teacher's teaching style suits you, whether the distance is close, and whether it is suitable for on-site audition. Therefore, we should carefully compare and think about the choice, spend the same money and make it worth it!
The above is what Bian Xiao shared with you today about "How to choose a big data training institution based on 0?" I hope it helps you. Bian Xiao believes that if you want to make achievements in the big data industry, you need to obtain some data analyst certificates with high gold content, which will have more core competitiveness and competitive capital.