With the development of the Internet, data analysis has become a very popular profession, big data analysts have also become a social hit workers tend to rush to the profession, not only high pay but also not a lot of workplace micro world of tedious things, but to do a good job of data analysis is not simple, refer to some good books, the line of data analysis will be more helpful! Today we bring you the classic books recommended for the introduction of data analysis, I hope to help you partners.

1. "Who says the rookie will not data analysis"

not only clarify some common analysis skills, and while some of the general knowledge of Excel and data analysis in the company's position, easy to grasp the data analysis of the technology pat zhou technology, but also to the workplace understanding of the certain help.

2. "Easy to Understand Data Analysis"

The first book on data analysis. Similar to the vivid approach of the novel, easy to understand image vivid interpretation of the fundamental process of data analysis, test methods, optimization methods/assumptions checking method of attacking the front/Bayesian accounting method/etc. methodology, so that readers can have a comprehensive knowledge of the concept of analysis.

3. "Excel Chart Way"

To advise readers how to plan and produce to arrive at the magazine level quality, professional and useful business charts, the author compared to the side of Business Week, The Economist and other top business magazines around the world to analyze the wonderful examples of charts, give its basis for Excel finish, including data maps, dynamic charts, dashboards, and many other high-grade TuBuQi table! The skills.

4. "Excel so with the right"

The specific content touched on, including sorting, selection, functions, formulas, pivot tables, charts, macros and VBA

and other features of the use, and combined with many examples of enterprise use, in a graphic and illustrated approach to the treatment of ideas and the process of operation one by one presented.

As a data analyst, if you are only satisfied with the status quo, do not pay attention to self-improvement, then, in the near future, you are likely to become the company's "human flesh" to take the number of machines, the impact of the work of the livelihood of the future.

5. Big Data Analytics: Points of "Numbers" into Gold

This book introduces readers to how to apply big data analytics to a variety of industries. In it, you will learn how to mine data, how to reveal trends in the data, and how to translate them into competitive strategies and ways to capture value. These more interesting and effective methods can enhance the intelligence of enterprises, which will help them solve real problems, improve profit margins, increase productivity and discover more business opportunities.

6. The Age of Big Data

The Age of Big Data is a pioneering work in the study of foreign big data systems. This book is forward-looking, pointing out that the information storm brought by big data is changing our life, work and thinking, and that big data opens up a major transformation of the times, and describes in three parts the change of thinking in the age of big data, the change of business and the change of management. The Age of Big Data argues that the core of big data is prediction. Big Data will create an unprecedented quantifiable dimension to human life. Big Data has already become a source of new inventions and services, and more change is poised to happen. The book showcases valuable use cases from big data pioneers such as Google, Microsoft, IBM, Apple, facebook, twitter, VISA, and others.

Interested in big data analytics partners, you may want to start with a look at the big data analytics books to start getting started! There are a lot of big data teaching videos on the B-site, from basic to advanced, it's quite good, the knowledge points are very detailed, there is a complete version of the learning roadmap. You can also see for yourself, download and learn to try.