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How to learn to be a data analyst?
study on one's own
If you teach yourself, you can arrange your own time without any constraints, and the direct cost of learning is much less. However, you must pay attention to the accumulation of project experience in the process of self-study, and you can't just learn tool skills and forget the project experience.
Because enterprise recruitment now attaches great importance to the project experience of data analysts, you can see the needs of enterprises by searching for relevant recruitment information on any recruitment website.
Therefore, in the process of learning, I suggest to find as many friends as possible who have done or are doing data analysts, and let them "hand in hand" take you to some real projects and teach you some project experience.
Only by paying attention to the acquisition of project experience in the process of self-study, can we enter the position of big data analyst more smoothly after learning. If you have no project experience, you can only start with basic work such as data cleaning and statistics, and the salary level may not be as high as the current income.
At the same time, the process of self-study may be boring, and one's study will be boring. If he is not self-disciplined enough and his beliefs are not firm enough, he is likely to give up halfway and go back and forth repeatedly, and his study time is uncontrollable.
According to the normal self-study content and progress, it will take about two years to reach the primary level of data analysts.
Report to class for study.
If you sign up for class, you can shorten the time a lot first, and you can master what you can learn in two months.
Of course, what kind of training institution to choose at this time still needs to return to the learning goals we talked about before. If you want to take the road of big data analysis, you must distinguish the curriculum design of various training institutions, and choose the real enterprise project that mainly takes students to do training projects, instead of crawling some data online for you to practice.
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