Getting big data, what can first self-study?

Now many online learning resources, free pay have a lot of people will choose to enhance their self-learning method. White want zero-based big data entry, laying the foundation of the early part is self-taught.

1. Basic English

For large data technical articles, more advanced are more foreign languages, programming also needs to be able to read the code, there must be a certain degree of English proficiency.

2. Statistics

Mainly large data analysis, data mining direction of the work required.

Key learning: basic statistics, probability distributions, confidence intervals and hypothesis testing, correlation and regression analysis.

Recommended books:

"Naked Statistics", "easy to understand statistics"
Getting big data, what can first self-study?

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  1. mathematics

And work with data, mathematical knowledge is of great help, especially in data analysis in this direction.

Key learning: Probability theory and mathematical statistics, linear algebra, optimization theory, discrete mathematics

Recommended books:

"Higher Mathematics", "Probability Theory and Its Applications", "Linear Algebra and Its Applications", etc.

4. Computer Knowledge

Network architecture, network protocol, data transmission, network security, multimedia data transmission.

Recommended books:

"Computer Basics Getting Started", "Principles of Computer Organization", "computer system", "computer language" and so on

5.Linux operating system

Understand the operating system architecture, task scheduling, memory management, storage management, command explain the basic content, interface management, file management.

Recommended Resources:

Linux Linux Foundation on the presentation, "Linux newbie Ultimate Guide", "Linux foundation", "Linux Command Line"

6.JavaSE

Java after more than two years of development, with a sound ecological system, a lot of learning resources on the network. Java and big data has a direct relationship, before the Big Data learning, you need to learn this programming language, especially large data development direction.

JavaSE book recommendations:

"Java programming ideas", "Java core technology Volume", "Effective Java", "Java8 combat" and so on

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