Beijing data Analyst Training which good _ data engineer need to master what skills

1 , mathematics and statistics-related backgrounds

The requirements for big data engineers are a master's or doctoral degree in statistics and mathematics. Data workers who lack a theoretical background are more likely to enter a dangerous area of skill (Danger zone)-a bunch of numbers that can always be analyzed according to different data models and algorithms, but if you don't know what that means, it's not really a meaningful outcome, and it's easy to mislead you. Only with certain theoretical knowledge can we understand model, reuse model and even innovation model to solve practical problems.

2 , Computer coding Ability

Real-world development capabilities and large-scale data processing capabilities are some of the essential elements of a big data engineer. Because the value of many data comes from the process of digging, you have to do it yourself to discover the value of gold. For example, many of the records that people generate on social networks today are unstructured data, and it is up to big data engineers to dig up meaningful information from these clueless words, sounds, images, and even videos. Even in some teams, big data engineers are primarily responsible for business analytics, but they also need to be familiar with how computers handle big data.

3 , knowledge of specific application areas or industries

Big Data engineer The important thing about this role is that you can't get out of the market, because big data can only be valuable if it's combined with a specific area of application. Therefore, the experience of one or more vertical industries can help the candidate to accumulate knowledge of the industry, and it is very helpful to become a big data engineer, so this is also a more persuasive point when applying for this position.

Beijing data Analyst Training which good _ data engineer need to master what skills