As an educator and also big data is one of my main focuses, let me answer this question.
First of all, for 24-year-old boys, learning data analytics technology is completely too late, and after a systematic learning process, there will be a certain degree of competitiveness in the workplace, from the big trend of the big data field, the potential for future demand for talent in the field of data analytics is still relatively large.
Data analysis in the era of big data has a new definition, data analysis of the way to produce a more obvious change, data analysis of the border is also constantly being expanded, from structured data gradually to semi-structured data and unstructured data to expand, but also the application of data analysis in the field of industry is also gradually from the field of finance, economy, medicine and other areas of the expansion of the industrial field, I believe that in the era of the industrial Internet, this trend will be more and more obvious.
24 years old to start learning data analysis, must be combined with their own knowledge structure to choose a learning entry point, the current data analysis can be divided into two basic ways, one of which is the statistical approach, and the other is the machine learning approach. For beginners with a solid foundation in math, you can start learning from the statistical approach, on the one hand, there is a large amount of statistical data analytics, on the other hand, the approach is easier to get started, and there are also a large number of tools that can be used.
Finally, data analytics is different from traditional development roles. The field of data analytics places a higher value on the accumulation of experience, for example, industry knowledge takes a long time to accumulate, so data analytics roles tend to have a longer career lifecycle, which can be viewed as one of the strengths of data analytics roles.
If you have questions about the Internet, big data, artificial intelligence, or graduate school, you can write to me privately!