1, Shenzhen Beida Jade Bird: Beida Jade Bird is an institution focusing on IT vocational education. Its big data course covers big data foundation, Hadoop, Spark, Flink and other technologies, and also provides practical projects and employment guidance services.
2. Dana Education: Dana Education is a national IT vocational education institution. Big data courses include big data foundation, Hadoop, Spark, Flink and other technologies, as well as data analysis and data mining.
3. Reliance occupation: Reliance occupation is an organization that focuses on IT vocational skills training. Its big data courses include big data foundation, Hadoop, Spark, Flink and other technologies, as well as data analysis and data mining.
4. Education vanguard: Education vanguard is an institution that focuses on IT vocational skills training. Its big data courses include big data foundation, Hadoop, Spark, Flink and other technologies, as well as data analysis and data mining.
When choosing a big data training institution, we need to pay attention to qualifications and teachers, course content and system, practical projects and training opportunities, student evaluation and employment.
1. Institutional qualification and teaching staff: First of all, we should check the qualifications of training institutions to ensure that they have legitimate business qualifications. In addition, understand the teaching staff of training institutions, including teachers' background, experience and teaching level. Excellent big data training institutions usually hire experts with rich practical experience and industry background to teach to ensure that students can learn practical knowledge and technology.
2. Course content and system: Secondly, it is necessary to know the curriculum and system of training institutions in detail. A good big data training institution should provide a systematic and comprehensive curriculum system, covering the core technologies and application scenarios of big data. At the same time, the course content should be closely combined with the development trend of the industry and the needs of enterprises, so that students can master the latest technology and knowledge.
3. Practice items and training opportunities: Practice is the best way to test the learning effect. When choosing a big data training institution, you need to know whether it provides practical projects and training opportunities. By participating in practical projects, students can better understand and master what they have learned and improve their skills. In addition, internship experience is also very important for job hunting and career planning.
4. Student evaluation and employment: Finally, we should pay attention to the evaluation and employment of students in training institutions. You can consult some authoritative education evaluation websites or forums to find out what other students say about training institutions. At the same time, we can understand the actual situation of employment guidance services and help students find jobs in training institutions, so as to provide reference for their choice.