solutions based on data requires you to open your mind often, and data analysis needs to keep learning continuously. Because the conclusions of data analysis sometimes run counter to our intuition, which requires continuous thinking and learning to improve our knowledge system.
When we analyze data, we need a data mobile number list source and then process the data. That is to say, the ability to query and process data is the basic internal skill for data analysis. In data processing, it involves a variety of tools, large and small, so you need to master the use of these tools, such as Excel, SQL, Tableau, Python and other tools.
In the circle of data analysis, it is very open. No matter whether it is data or data indicators, it is not perfect in itself and will make mistakes. Therefore, we must have an open mind and a persevering spirit, so that we can continue to explore and seek answers from data.
Now that we understand the requirements for people to get started with "data analysis", let's sort out the basic ideas of how to quickly get started with "data analysis".
The main suggestion for how to quickly get started with data analysis is to focus on data analysis thinking, familiarity and sorting out business knowledge, and general capabilities. The entry idea is as follows: