Which is better in Chengdu Big Data Analysis Training Course?

Chengdu Big Data Analysis Training Course is better:

1, Xueda Education

2. Hongcheng Education

3. New Oriental

4. Dana education

5. Other training courses.

1, Xueda Education

Xueda Education was established on 200 1. After 17 years of development, 62 1 learning centers have been established in 27 cities across the country.

Xueda Education, as an advocate of individualized education, respects students' individual differences, adheres to the core of students' individualized development, aims to tap students' potential and comprehensively improve their comprehensive quality, and teaches students in accordance with their aptitude with the help of intelligent science and technology.

2. Hongcheng Education

Hongcheng Education Group, founded in 1999, is a comprehensive education service organization integrating higher education, basic education, international education,1kloc-0/distance education and preschool education, and has become an online education comprehensive service provider that has successfully landed in overseas capital markets in China.

With advanced technology, high-quality resources and deep understanding of education, Hongcheng Education has established cooperation with more than 100 colleges and universities, providing flexible and diverse service modes from technology to enrollment, from project service to comprehensive cooperation.

3. New Oriental

New Oriental Education Technology Group grew up from Beijing New Oriental School and was established on June 6th. 1993+0 1. The group focuses on training. As a famous private educational institution in China, New Oriental Education Technology Group was successfully listed on the new york Stock Exchange on September 7th, 2006.

4. Dana education

Dana Times Technology Group Co., Ltd. was established in September 2002. 20 14 was successfully listed on Nasdaq in the United States on April 3, with financing of1300,000 USD. China has become a vocational education company listed in the United States and a leading vocational education company.

Relying on Zhongguancun, Dana Group has established 200 learning centers in 60 large and medium-sized cities such as Beijing, Shanghai, Guangzhou, Shenzhen, Dalian, Nanjing, Wuhan, Hangzhou, Xi, Suzhou, Chengdu and Shenyang.

Since its establishment, Dana Group has been committed to building an educational ecological chain, and its business comes from industry and serves industrial development. In the different stages of the development of the Internet, Dana's courses keep up with the pace of the development of the Internet, and have been innovating for more than ten years to create a vocational curriculum map covering the entire IT industry chain.

Extended data:

How to choose training institutions;

1. Is the teaching system perfect?

Big data technology is complex, and the industry is really big data. 82% of the lectures are hadoop, spark ecosystem and storm real-time development. 85% of the so-called "big data" institutions in the market are basically talking about JAV data or database learning.

2, teachers, hardware facilities

The biggest difference between training institutions and traditional university education is employment-oriented. The study of university education is mainly oriented to taking exams and obtaining academic qualifications, and employment is not its main teaching purpose. More work ability needs to be improved in the work.

The only goal of training and education is employment, so training institutions and universities will have very different background requirements for lecturers. The lecturers of reliable training institutions are all big data developers from large Internet companies, and their practical ability is very strong.

3. Curriculum setting

As long as it comes to learning, it is inseparable from the curriculum. That is, the knowledge and technology we need to learn. Whether the curriculum is reasonable or not directly determines the students' knowledge structure and learning effect.

A good course arrangement can make students study systematically, and Xiaobai can get started faster. Of course, the course should also be connected with the market demand, so that students can get better growth.

4. Training programs

Above, we talked about the importance of curriculum. Whether the curriculum is reasonable or not affects the knowledge structure and learning effect, and the project experience will directly affect our employment situation.

Training programs generally include JAVA projects, big data projects and enterprise big data platforms. Different learning stages cooperate with different projects to deepen students' understanding and application of what they have learned.

5. Registration threshold

Enterprises have a certain threshold when recruiting big data developers. The minimum education requirement is to recruit junior college (individual minority enterprises can relax the requirements). Therefore, a reliable training institution will definitely set a requirement for enrollment: college degree or above.

6. Class selection

More and more people want to enter big data, but they don't want to pay too much. In order to cater to everyone's needs, some training institutions have set up "weekend classes", "fast classes" and "online work" courses.

Big data technology is so complicated that it is almost impossible to master it in a short time. Generally, the study period of Basic 0 is about 5 months, which is full-time study.

7. Live audition

Big data training institutions with real technical content are not afraid of students coming to field trips and on-site auditions. No matter how much information they know online, it is better to visit them on the spot. Friends in Chengdu can go to Chengdu for a field trip to big data.