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How to choose the learning method of big data: self-study meeting or training?
Big data is a huge field, covering a wide range of knowledge. When you want to learn big data, you may encounter a difficult problem: self-study or training? This article will provide you with some reference opinions to help you make a decision.

Advantages of self-study

Self-study is a way to save money, which is completely in line with our DIY spirit. But big data involves a wide range of knowledge, and self-study may make you lost in the ocean of information. When you encounter a difficult problem, you may need to spend a lot of time looking for the answer, or even find no answer.

Advantages of training

Training is a more systematic and effective way of learning. In order to ensure learning, training institutions will adopt various methods, such as increasing project training and hiring experienced teachers. In this way, you can not only learn big data knowledge systematically, but also improve your skills in actual combat.

How to choose

If you really want to make a difference in the field of big data, you can consider taking training. Of course, the final decision is up to you. But no matter which way you choose, don't forget to persist and work hard!