If anyone asks me, what is the necessary software skills as a data analyst?
There are no more than three tools to answer from the frequency of usage and the scenario used.
1、Excel I believe everyone is familiar with Excel almost every day, although excel is dealing with a small amount of data, but we daily face the frequency of large data processing is not much, unless do some very targeted thematic analysis, so the level of an Excel data analyst, determine this oneHuman growth and efficiency
2、PPT Mainly used to display analytical thinking and analysis results.
3、SQL This is a general language for databases. Most of the data of enterprises are stored in various databases. As we all know, most of the work of data analysis is cleaning data, accounting for almost 60%~80% of the workload of data analysts.important
For professional technical data analysts, SQL may be the simplest and most basic language, like a swordsman’s sword, a must-have and common weapon to carry with him.
But for many non-technical data analysts, SQL will appear to be on the top, think it is a highly technical discipline, in fact, SQL is very simple and easy to learn, almost no programming foundation can be required, in the Internet mix, SQL is necessary
What are the advantages of learning SQL?
Deepen understanding of data
We all know that the data of our enterprise is stored in the database, and the selection and analysis of the data need to be done by ourselves. This process is to understand the process behind the data. The more the underlying information, the greater the value of the data.
Increase of efficiency
In the face of passive demand, we often have to do some data collation and analysis according to the requirements of the demand side. If we go through the process and prioritize the programmer to help, the timeliness of the problem is very big, and the leader only looks at the results.
Reducing risk
Often the most striking problem is the caliber and accuracy of the data. When you work hard to complete a data analysis report, the programmer tells you that he has some problems with the data, some data to go to library A, he is missing the data from library B, how do you do?
So as a qualified data analyst, you must understand the database, understand the structure of the data, understand the credibility of the data, only their own experience, you can understand the data, unless your work process is very rigorous, very scientific, very standardized, but these are also very difficult to ensure that what you need is what he gives.
Sometimes a data analyst is like a cook, who understands everything from planning dishes, purchasing lists, choosing markets, cleaning dishes, and making high-profile dishes. Every step is indispensable, so that he or she can understand the data better.