1. Statistics-related knowledge

Statistics is the basis of data analysis, because data analysis needs to be statistically analyzed on a large amount of data, you can through the study of statistics, to cultivate the data analysis of the most basic some of the logical thinking.

2. EXCEL

Don't look down on EXCEL, it's the most elementary data analysis tool, and EXCEL is fully capable of dealing with not very large amounts of data. And we have a certain foundation, usually work often use, learning should be very easy, focus should be strengthened for all kinds of functions and EXCEL data visualization learning.

3. Understanding of the code language

Data analysis needs to use a lot of tools, such as python, SQL, etc., which need strong code knowledge to support, so there are partners who want to learn data analytics can be in the learning of the code before the initial have an understanding of. This is not to really learn to be at a loss.

On how to become a data analyst from a zero base, Aoto Xiaobo has shared this with you. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to know more about data analyst, big data engineer tips and materials, you can click on other articles on this site to learn.