Data analysis tools are indispensable tools in the digital age. This paper will introduce four mainstream data analysis tools: descriptive, diagnostic, predictive and instructional analysis tools to help you quickly master the basic knowledge of data analysis.

Descriptive analysis tool

Descriptive analysis tool is your data "map", which helps you quickly understand the distribution, trend and correlation of data. Excel, Tableau and Power BI are excellent descriptive analysis, which can quickly show the core characteristics of data and let you see through the "heart" of data at a glance.

♀? Diagnostic analysis tool

Diagnostic analysis tools, like detectives, help you find out the "real killer" behind the data. Software such as SPSS and SAS are the representatives of such tools, which can dig deep into the data The Secret Behind and help you find out the reasons for the decline in sales.

Predictive analysis tool

Predictive analysis tools are real prophets, and can predict future trends and results according to historical data. R, Python, SQL and other programming languages are the key to realize prediction. They let the data speak and tell you what will happen in the future.

Guiding analysis tool

Guiding analytical tools can not only predict the future, but also provide you with action suggestions. They combine machine learning, optimization algorithms and business rules, just like an experienced consultant, telling you how to operate to get the best results.