同学，你这简历上没项目啊！

Classmate, have you ever encountered such an awkward circle when you just graduated or switched to a job as a data analyst?

Today, Xiao Wu will talk to you about how to completely get rid of the scene of chatting with the interviewer with a thin resume when interviewing data analysts. the key word is- work experience !

Lack of relevant work experience is indeed a weakness, so which project experience can make up for this weakness? For example, you have done a complete analysis project, mining project, or participated in a competition related to the position you are applying for, which is a bonus experience on your resume.

Therefore, it is an ingenious way to add some data analysis items to your resume.

First of all, make sure that what the recruiting company wants to see most is the project experience that has done real projects. In the case that we have no relevant experience, we choose to simulate the project, imitate how the real data analysts do a project, copy their ideas for doing the project, and then combine their own understanding.

These websites, commercial data sets are very complete, and have specific business scenarios, so it is very suitable for analysis, and as their own data analysis projects. The data sets in these sites basically cover different areas such as e-commerce, advertising, travel, online education, finance and so on, which are enough to support you to complete all kinds of data analysis projects.

However, when selecting data sets, it should be noted that items such as Taobao user behavior, Titanic predictions, baby product information, Boston house prices, etc., are better for practice, but it is really recommended not to write them on your resume, either on a bad street, or too far from the real business scene.

If you want to find something unique, you can go to the minority and whale community to have a look, there may be surprises.

I would also like to suggest that most of the hot news in Xiao Wu's official account is more entertaining and cannot be experienced as a formal project, ha.

If you are interviewing for a position as a data analyst, your project needs to reflect your own level and your "depth" of understanding of the business / analysis methodology, that is, a complete description, analysis, and summary of the project from start to finish. Here is a real case, which is also an article published in the history of "bump data".

You can easily see a complete data analysis project, including ideas, code comments, and datasets.

A project description case of brother Lin is shared here. You can adjust it according to the actual situation of your own project.