Data analysis is also good, statistical analysis is good, data mining is good, business intelligence is also good to learn a variety of analytical tools and skills in the learning, especially to master the analysis software tools! Learning data analysis, generally learn the software first, then apply, then learn the theory and principle! You can't learn without a software method, because you can't do it unless you learn it yourself.
SPSS and SAS are used for statistical analysis, and some basic applications around statistical knowledge, including descriptive statistics, analysis of variance, factor analysis, principal component analysis, basic regression, and distribution testing. SPSS is used for market research. There are many financial and medical statistics in SAS Bank, and there are some difficulties.
R language is a kind of comprehensive data analysis tool, which integrates statistical analysis, data mining and data visualization.
Expand and talk about data analysis~The use of these data analysis tools depends on the needs, and the choices and methods of each enterprise application are different. The concept of data analysis is very broad. From the perspective of IT, the data analysis tool can be divided into two dimensions in practical applications:
The first dimension: data storage layer - data report layer - data analysis layer - data presentation layer
The second dimension: user level - department level - enterprise level - BI level
1, data storage layerThe concept of data storage design to database and database language, this aspect does not have to be deeply studied, but at least to understand the way data is stored, the basic structure of data and the type of data. SQL query language is essential and proficient in the best. Can be used from the commonly used selece query, update modification, delete delete, insert insert basic structure and read start.
Access2003, Access07, etc., this is the most basic personal database, often used for personal or partial basic data storage; MySQL database, this is necessary for departmental or Internet database applications, this time the key to master the database library structure and SQL Language data query capability;
SQL Server 2005 or higher, for small and medium enterprises, some large enterprises can also use SQL Server database, in fact, this time in addition to data storage, it also includes data reporting and data analysis, and even data mining tools are in it;
DB2, Oracle database is a large database, mainly enterprise-level, especially large enterprises or the need for massive data storage is necessary, generally large database companies provide very good data integration application platform;
BI level, in fact, this is not a database, but a data warehouse based on the previous database, enterprise-level applications. Data Warehouse, the data storage built on the DW machine is basically a business intelligence platform, integrating various data analysis, reporting, analysis and presentation. BI-level data warehouse combined with BI products is also a major trend in recent years.
2, the report / BI layerEnterprises store data that needs to be read and needs to be presented. Reporting tools are the most commonly used tool, especially in China. In the past, most of the traditional reports solved the problem of display. Now, like the soft report FineReport, it will cross with other applications, do data analysis report, and open the function, report, and report function through the interface, which can make the data in and out, covering the early stage. The function of business intelligence.
BI tools such as Tableau, Qlikview, and FineBI can be divided into data presentation layers at the reporting level, covering data integration, data analysis, and data presentation. FineBI and Tableau belong to the same great software in recent years, and can be used as visual data analysis software. It can be used by FineBI to collect data from the database for report and visual analysis. Relatively speaking, Visual Tableau is better, but FineBI has another identity - business intelligence, so the ability to handle big data is better.
This layer actually has a lot of analysis tools, of course, the most commonly used is Excel.
Excel software, the first version is the higher the better, this is affirmative; of course, for excel, many people only master 5% Excel function, Excel function is very powerful, and can even complete all statistical analysis work! But I also often say that it is better to play Excel as a statistical tool than to learn statistical software;
SPSS software: the current version is 18, the name has also been changed to PASW StaTIsTIcs; I started the programming analysis in Dos environment from 3.0, and now the changes of the version can also see the changes of SPSS social science statistical software package, from the emphasis on medicine, chemistry, etc. Beginning to pay more and more attention to business analysis, and now it has become predictive analysis software;
SAS software: SAS is more powerful than SPSS. SAS is platform-based. EM mining module platform integration. Relatively speaking, SAS is more difficult to learn, but if you master SAS, it will be more valuable, such as discrete selection model, sampling problem. , orthogonal experimental design, etc. or SAS is more useful, in addition, SAS learning materials are more, also open, there will be harvest!
JMP Analysis: An Analysis Branch of SAS
XLstat: Excel plugin for most SPSS statistical analysis functions
4, the presentation layerThe presentation layer is also called data visualization, and each of these tools provides almost a little presentation. The visualization features of FineBI and Tableau have been mentioned above. In fact, in recent years, Excel's visualization has become more and more good, with some plug-ins, the use of better.
PPT: commonly used in office, used to write data analysis reports;
Xmind & Baidu brain map: combing the process, helping to think and analyze, showing the level of data analysis;
Xcelsius software: Dashboard production and data visualization reporting tools, can directly read the database, modeling in Excel, Internet display, the biggest feature is still able to achieve dynamic reports in PPT.
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