Many people's impression of big data is to deal with very complicated mathematical knowledge. Some friends who are not good at math and want to learn big data are very entangled in their hearts. I don't know if math is not good enough to learn big data. Is it difficult? Changping Computer School will talk about math in detail. Is it difficult to learn big data? This topic will answer your questions and hopefully bring you some practical suggestions.

1: Big data has a wide range and has nothing to do with machine learning algorithms. In fact, the requirements for mathematics are very low. What is really useful for big data is keen insight, and the mathematical foundation should be there. That's for sure. If it's not good, it's fine. If you study with peace of mind, you can supplement it in time, and you won't need too much mathematical knowledge than probability theory and mathematical statistics.

2. What is certain is that you can learn big data if you are not good at math. The more mathematical knowledge, the more helpful it is to learn big data. But this does not mean that people who are not good at math can't learn big data. Friends who are not good at math, when learning big data, just focus on the math knowledge used, don't worry too much!

3: Learning big data is not difficult! Poor mathematics cannot be a difficulty in learning big data. The most important thing is to choose a big data training class that suits you. Many zero-based big data students in Beida Jade Bird can learn to find a good job after five months of study!