Skills that data analysts need to master

First, Understand Business

The premise of data analysis work will need to understand the business, that is, familiar with the industry knowledge, business and process, preferably have their own unique insight, if out of the industry and the company's business background, the results will only be off the line of the kite, there is not much use value.

Second, Understand Management

On the one hand is the requirements of building data analysis framework, such as the determination of analytical ideas need to use marketing, management and other theoretical knowledge to guide, if not familiar with the management theory, it is difficult to build the framework of data analysis, subsequent data analysis is difficult to carry out. On the other hand, this paper puts forward some instructive analysis suggestions for the data analysis conclusion.

Third, Understand the analysis

To grasp the basic principles of data analysis and some effective data analysis methods, and can be flexibly applied to practical work, in order to effectively carry out data analysis. The basic analytical methods are: Comparative analysis, group analysis, cross-analysis, structural analysis, funnel Chart analysis, comprehensive evaluation analysis, factor analysis, matrix correlation analysis, etc. Advanced analysis methods include: correlation analysis, regression analysis, cluster analysis, discriminant analysis, principal component analysis, factor analysis, correspondence analytical method, time series, etc.

Four, Understand Tools

Refers to the common tools used to understand data analysis. The data analysis method is the theory, and the data analysis tool is realizes the data analysis method theory the tool, facing the more and more huge data, we cannot rely on the calculator to carry on the analysis, must rely on the powerful data analysis tool to help us complete the data analysis work.

Five, understand the design

Understanding design refers to the use of charts to effectively express the analytical views of data analysts, so that the analysis results at a glance. The design of the chart is the door Brainiac, the shape choice, the layout design, the color collocation and so on, all need to grasp certain design principle.

Skills that data analysts need to master