The correct way to learn big data shared by Professor Code Academy

Data can calculate many new and interesting things about your city.
1. Learn to love data.
You need some motivation to make you discover the connection between statistics, linear algebra and neural networks. Falling in love with the sense of accomplishment that data gives you is not about watching. It's a headache when it comes to data. The great thing about data science is that there are infinitely interesting things to discover - that is asking questions and finding a way to get answers.

Second, learn in practice to
get a type of data that interests you, analyze it, such as mapping all devices on the Internet, finding the location of real NBA players, where there are refugees this year, or other things. In this hobby, the grammar that you can't understand even if you just flip through the book and read the obscure words, maybe you can learn it while you are analyzing and rummaging through the actual operation. Practice will bring out the truth. The older generation will not lie to us.
Third, part of learning to communicate
is understanding and theory of the subject, and the other is understanding how to organize your results. The last part is being able to explain your analysis clearly. You must know that there is nothing powerful about what you understand, and your data results can be understood by people who do not know this aspect, and that is your power. Just a little advice, start blogging logically, no matter what, start with what you are familiar with! As long as you can develop the habit of writing a logical blog every day, your progress will definitely be visible.
Fourth, learn
from your peers. What you have learned from your peers is beyond your imagination. Brainstorming, in data work, teamwork is very important. important.
Fifth, continue to increase the difficulty of learning to
deal with larger data sets. To learn to use spark, you must know that stopping learning in the information age is elimination