Traditional Culture Encyclopedia - Traditional virtues - What data analysis software tools are available?
What data analysis software tools are available?
Excel needs no more introduction, and everyone in the workplace knows the national office software. The function of processing data is simple and powerful, so it can last forever. Daily data statistics, data calculation and visual display can also be realized by this tool.
Of course, Excel can handle a small amount of data in daily life, but it can't handle big data. Beginners who want to know about data analysis can start with excel.
2. Computer programming language
Now many enterprises are using Python programming language, so there are many recruitment requirements for data analysis positions that need Python. Python is favored by many IT practitioners because of its simple and clear grammar, and it is also easy to use, which is very suitable for programmer Xiaobai to learn.
After learning this programming language, you can achieve the desired analysis effect by writing code. But if you just want to learn the thinking of data analysis and don't want to touch the code, then you don't have to learn.
3. Structured query language
The data in an enterprise is often massive and stored in a database. If you deal with the database for a long time, you need to learn SQL statements to access and clean up data from the database. Of course, if you haven't touched the database yet, you can not learn it first.
4. Business intelligence tools
BI is business intelligence, which effectively integrates the data in enterprises and presents the processed data to help enterprises make business decisions. There are many BI tools on the market. Today, three tools are listed, namely Tableau, PowerBI and DataFocus.
5. Static pictures (played by people on the stage)
Tableau is an interactive data visualization software. Compared with other BI tools, Tableau classifies data into dimensions and measures after importing data. Dimensions are attribute columns, such as countries and regions, and measures are numerical columns, such as sales volume and sales volume. Then drag dimensions or measures into rows or columns to generate various charts and trendlines.
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