Through the teaching of data analysis, students realize that statistics needs to collect data, sort out data and then analyze data, so as to solve many practical problems in daily life, feel the practical value of statistics and cultivate students' application consciousness. "Mathematics Curriculum Standard" puts forward that students should "experience the process of describing information and reasoning with data, develop statistical concepts" and "help students gradually establish the concept of data analysis and understand random phenomena". Therefore, the core goal of studying unified planning is to cultivate students' concept of data analysis. First, through the process of data analysis, I realize that data contains information, and the core of cultivating students' data analysis concept statistics is data analysis. Statistics and probability should be based on data and analysis of data; At the same time, in order to make the prediction more reasonable, more data need to be collected. For example, if you are a fan, you will speculate whether your favorite team will win a game. If you only judge by subjective preference, then you have no concept of data analysis, and the judgment is often unreasonable. However, it will be more reliable to collect certain data (technical statistics of players from both sides, previous competition results of both teams, etc.). Before judging, make a guess about the team's winning or losing, which shows that you have a certain concept of data analysis. It is necessary to let students know about these connections, and to cultivate students' ability to consciously think about related issues from the perspective of statistics, that is, to think of analyzing data with statistical knowledge when encountering problems. Let students experience the process of data analysis and understand the information contained in the data, so as to develop their concept of data analysis. Second, master the basic methods of data analysis, choose appropriate methods according to the background of the problem, and cultivate students' concept of data analysis. The statistical study in compulsory education stage should make students consciously and correctly use a unified plan to solve practical problems, and also rationally analyze other people's statistical data and make reasonable judgments. Common statistical activities, such as exercise, how much faster the pulse will be after running than at rest, and the prediction of the outcome of team competition; In learning, whether there are differences between boys and girls in learning mathematics, in which grade is the most obvious difference, and the investigation of learning situation in various subjects; Road traffic survey around the school (traffic volume, number of vehicles, congestion, traffic accidents, etc. ), local resources and environment survey, etc. In this way, through the analysis of data, we can not only choose appropriate methods according to the background of the problem, but also cultivate the flexibility of students' thinking, thus developing students' concept of data analysis. Thirdly, through data analysis, we can feel the randomness of data and develop students' concept of data analysis. The teaching emphasis in the field of statistics and probability is to cultivate students' awareness of data analysis and the concept of randomness. The difficulty lies in how to create appropriate activities to reflect randomness and the whole process of data acquisition, analysis and processing and then making decisions. In the information age, life is full of all kinds of data and statistical charts that visualize them. In addition to reading and consciously obtaining data from various channels, we should also treat the data published by news media and advertisements rationally, understand the possible misleading caused by the data, and initially form an evaluation consciousness of the data processing process. We can not only get as much useful information as possible, but also keep a rational attitude and understand the source, collection method and presentation of data.