1 、 SPSS
SPSS is the world's earliest statistical software that uses a graphical menu-driven interface. Its most prominent feature is its extremely friendly operation interface and beautiful output results. As long as users master certain Windows operating skills and are proficient in statistical analysis principles, they can use the software to serve specific scientific research work. SPSS uses a similar EXCEL form to input and manage data, and the data interface is more general, which can easily read data from other databases. The statistical process includes commonly used and more mature statistical processes, which can fully meet the work needs of non-statistical professionals.
2、SQL
It is no exaggeration to say that SQL is a necessary skill for all positions in the data direction. It is easier to get started. In summary, it is addition, deletion, modification and investigation. The knowledge points that SQL needs to master mainly include data definition language, data manipulation language and data control language; in data manipulation language, understand the execution order and grammatical sequence of SQL, master the important functions in SQL, and understand SQL. The similarities and differences of various joins. All in all, SQL is a necessary skill to get into data analysis.
3, BI tool
Business intelligence BI is born for data analysis, and its birth point is very high. Its purpose is to shorten the time from business data to business decision, and use data to influence decision making. BI tools are designed in accordance with the data analysis process. First, data processing, data cleaning, then data modeling, and finally data visualization, using charts to identify problems and influence decision-making.
Take SmartbiI as an example, which integrates core functions such as ETL data processing, data modeling, data visualization, data analysis, data reporting, and mobile applications. Data collection and supplementary records can be realized through form filling and form filling. Data sources can be integrated and processed in advance, and various visual charts can be generated through simple drag and drop.
This dynamic visual charting software can directly connect to the database, and it is very simple to use, and you can get multiple results by simply dragging and dropping data and adjusting dimensions, all of which are analyzed from different dimensions. Moreover, users do not need to learn how to do dynamic data visualization. Smartbi has a built-in dynamic data visualization template, which is clearer and concise, and you can see the key points at a glance. The default colors in Smartbi are also very good.
It has everything from reporting, querying, deployment, and integration, to large visualization screens and dashboard cockpits, with powerful functions. The most important thing is that because of this tool, the entire company's data architecture can become standardized. The next step is to build the enterprise's big data platform. Moreover, it is written in Java, supports secondary development, and is an Excel-like designer. Whether it is IT or business, it is easy to get started: editing SQL optimization and data set reuse are simply small cases, which greatly reduces the threshold of report development . In terms of data security, which is the most concerned about in the enterprise, Smartbi supports multiple people to develop the same set of reports at the same time, and prevents editing conflicts through functions; and ensures data security through data analysis authority control.