Shulou(Shulou.com)06/02 Report--

Now there are many online learning resources, free of charge, many people will choose to improve their own methods of self-study. Zero basic Xiaobai wants to be introduced to big data, and the part that lays the foundation in the early stage can be taught by himself.

1. The basis of English

For big data's technical articles, the more advanced is that there are more foreign languages, programming also needs to be able to understand the code, must have a certain English ability.

two。 Statistics

It is mainly the work needs of big data analysis and data mining.

Focus on learning: basic statistics, probability distribution, confidence interval and hypothesis testing, correlation and regression analysis, etc.

Recommended books:

"naked statistics" and "simple statistics"

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Mathematics

Mathematical knowledge is of great help in dealing with data, especially in the direction of data analysis.

Key study: probability theory and mathematical statistics, linear algebra, optimization theory, discrete mathematics, etc.

Recommended books:

"higher Mathematics", "probability Theory and its Application", "Linear Algebra and its Application", etc.

4. Computer knowledge

Network architecture, network protocol, data transmission process, network security, multimedia data transmission and so on.

Recommended books:

Introduction to basic computer knowledge, principles of computer composition, computer system, language and computer, etc.

5.Linux operating system

Understand the basic contents of operating system architecture, task scheduling, memory management, storage management, command interpretation, interface management, file management and so on.

Recommended resources:

Linux Foundation's introduction to Linux, "Ultimate Guide to Linux beginners", "Linux fundamentals", "Linux Command Line"

6.JavaSE

After more than 20 years of development, Java has a sound ecosystem and a lot of learning resources on the Internet. Java is directly related to big data. Before learning big data, you need to learn this programming language, especially the development direction of big data.

JavaSE book recommendations:

"Java programming ideas", "Java Core Technology Volume 1", "Effective Java", "Java8 practice", etc.

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