First of all, girls are suitable for learning big data technology, and there are many positions within the big data industry that are more suitable for girls to engage in, such as data organization, storage, analysis and other positions are good choices, but because of the complexity of the knowledge system of big data, it is also difficult to learn.

Positions in the field of big data can be simply divided into two categories, one is the research and development positions, or called innovative positions, and the other is the application of the positions, or called skill-based positions. R&D positions are more difficult, often requiring practitioners to have a solid knowledge base, while mastering a range of research methods, and have relatively high requirements for the work environment, such as the need for strong arithmetic and data support.

Currently, R&D level positions in the field of big data tend to have high requirements for the practitioner's education, and many people have obtained R&D level positions by going to graduate school, and at present there are a lot of female students in graduate school, who will choose the direction related to big data. From the viewpoint of the fall recruitment in 2019, there are relatively more positions in the field of big data, and there is more space to choose.

Relative to the R&D level positions, the learning difficulty of the application level positions is relatively much lower, even if there is no computer knowledge base, after a systematic learning process, it is often possible to engage in some positions in the field of big data, such as data collection, data cleaning, data analysis and other positions are more suitable for girls to engage in.

So, when choosing to learn big data knowledge, you should choose a learning route based on your own knowledge base and ability characteristics.