What are the requirements of big data visualization engineers?

The essence of data visualization is visual dialogue. Data visualization combines technology and art perfectly, and conveys and exchanges information clearly and effectively through graphical means.

The significance of visualization is to help people analyze data better, and the quality of information depends largely on its expression. Analyze the meaning contained in the data composed of numerical lists, so as to visualize the analysis results.

The main function of data visualization is to convey key data and characteristics intuitively through graphics and colors, so as to realize in-depth insight into rather sparse and complex data sets. Simply saying "data presentation" is not accurate, because data visualization does not cover all data indiscriminately. The process of visualization itself has already added the producers' thinking, understanding and even some assumptions about the problem, while data visualization helps producers obtain guidance or verification at the objective data level through a clear way.

The job requirements of a big data visualization engineer are as follows:

First, bachelor degree or above in statistics, applied mathematics and computer science is required.

Second, you need to have internship experience or experience as a participant in a big data contest.

Third, master at least one big data tool, PYTHON/R or other data mining and data display software.

Fourth, we should have good ability to write data analysis reports, and have certain visual, scientific and aesthetic graphic effects.

Regarding the requirements of big data visualization engineers, Qingteng Bian Xiao is here to share with you. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.