Is it worth learning? The answer is very yes, but for learners with different backgrounds, it is not necessary to learn it. This question is similar to asking whether medicine is worth learning. The answer is the same.
To be honest, there is currently no industry that does not generate data and absolutely does not need to analyze data. Therefore, I encourage people who are not in data analysis positions to learn data analysis methods and some analysis tools for two reasons:
People who are not in data analysis positions must have their own data in their industry, and they also need people who understand certain basics of data analysis;
More importantly, there is now a popular term "H" type talent, that is, a person has two areas of expertise, and these two areas have a certain correlation. Such correlation will produce innovation, thereby making himself more valuable in the workplace.
In addition, another reason why data analysis is worth learning is that the market prospects are good. The figure below shows the search index of "data analysis" in the past ten years. It can be seen that its attention from the public has been steadily increasing.
This trend has two keywords:
Stable : It is not a sudden improvement, which means that this field is not just emerging but has matured.
Rising : indicating that the prospects in this field are constantly improving
Moreover, the search indexes of [data analysis] related keywords on the three major platforms of Baidu, WeChat, and Douyin all show the same trend as above.
At present, on major recruitment websites, data analysis positions have been among the top three in demand for technical positions for many years; in the "14th Five-Year Plan" planning materials, digital transformation is highlighted; in the latest "2021" released by LinkedIn "2020 Emerging Job Trends Report" pointed out: With the development of digital technology and digital economy, some positions with their own digital genes have become popular, and the demand for talents is also increasing sharply. Whether they have high-level digital talents has become a constraint for enterprises. key factors for rapid development.
Moreover, many positions here are directly related to data analysis:
In addition, the report also mentioned that some traditional positions that are still popular, such as financial consultants, recruitment specialists, sales, etc., also mentioned data analysis capabilities in the [Popular Skills].
The author's own scientific research institution can clearly feel the big changes in the context of digital transformation. The artificial intelligence R&D department where I work has seen a very obvious increase in demand for talents. This year's recruitment volume is the total of the previous three years.
I personally feel that talents in this position will have no worries about finding a job in the next 10 years, and the more traditional industries and traditional positions they are in, the more popular these new data analysis talents will be.
Therefore, regardless of whether you want to engage in data analysis in the future, I recommend that you systematically master some knowledge of data analysis.
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