Job Recruitment Website - Job information - What does big data learn specifically?

What does big data learn specifically?

Cutting-edge technologies such as big data analysis, mining and processing, mobile development and architecture, software development and cloud computing.

Main courses: object-oriented programming, Hadoop practical technology, data mining, machine learning, statistical analysis of data, advanced mathematics, Python programming, JAVA programming, database technology, Web development, Linux operating system, big data platform construction and operation, big data application development, visual design and development, etc.

Big Data aims to train students to master data management and data mining methods systematically, and become a senior professional big data technical talent with the ability of big data analysis and processing, data warehouse management, comprehensive deployment of big data platform, application software development of big data platform and visual display and analysis of data products. ?

Big data work:

1, big data system architect

Big data platform construction, system design and infrastructure.

Skills: computer architecture, network architecture, programming paradigm, file system, distributed parallel processing, etc.

2. Big data system analyst

Facing the actual industry field, we use big data technology to manage, analyze and apply the data security life cycle.

Skills: artificial intelligence, machine learning, mathematical statistics, matrix calculation, optimization method.

3.hadoop development engineer

Solve the problem of big data storage.

4. Data analyst

In different industries, professionals who specialize in collecting, sorting out and analyzing industry data and conduct industry research, evaluation and prediction based on the data use tools to extract, analyze and present data in their work, so as to realize the commercial significance of the data.

5. Data Mining Engineer

To discover laws from massive data, data mining needs certain mathematical knowledge, such as linear algebra, advanced algebra, convex optimization, probability theory and so on. Frequently used languages include Python, Java, C or C++.