data management books

Article Source: Managers seeWe often say that a business without management is like a disunity. In such enterprises, the lack of good leadership management core, lack of good management mechanism, employees do not know how to better serve the enterprise, but also do not know how to heart to a place to think, the strength of a place. Just imagine, such a team, how

I spent an afternoon in the bookstore yesterday and found some books on software engineering project management. It was found that some school professors had written books on paper and could not find practical books. These are all illusory theories that may not be used in actual projects. Maybe they don't even bother r

I am in general years. A very serious book written by Sloan is written by science students. This is different from the general book, because the middle is filled with detailed data and evidence, and the cause and effect are very clear. Absolutely recommended. Although the pursuit of excellence can be said that many examples of the company has become a joke. Many of the ideas in the book are impressive. Locate a book about marketing that gives you ne

1. Data Visualization (full color) In the face of complex big data, visualization provides a good interpretation angle and method, and is a powerful tool for big data analysis and application. For the first time, this book comprehensively and meticulously combs the history, theories, tools, and application cases of visualization, as well as illustrations and

the required package again.4, after learning the introductory book, you need to learn how to use Python to do data analysis, recommend a book: using Python for data analysis, this book mainly introduces the data analysis of several commonly used modules: NumPy, pandas, Matplotlib, and data preprocessing required

Wuyi Free Data Science BooksA great collection of free data science books covering a wide range of topics from data science, business Analytics, data Mining and Big data to machine learning, algorithms and

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This article by larrylgq prepared, reproduced please note the Source: http://blog.csdn.net/larrylgq/article/details/7395261 Author: Lu guiqiang Email: larry.lv.word@gmail.com I recently saw someone reading a book order online. I also followed suit to record the good books I have read and keep updating them. At the same time, you are welcome to recommend a book you think is good to me ^ -Data Mining Machine

Entry books: In-Depth Data Analysis (Douban)This book is quite simple. The basic content is involved, and it is quite clear. Finally, we talked about R as a plus. Difficulty level: very easy. Beer and diapers (Douban)In this case, things are the most typical examples. Difficulty level: very easy. Data beauty (Douban)Each chapter of an introductory book solve

book operation, the book is already in the box, this command is invalid. Skip this command (it must be DD's mistake ). Input Multiple groups of data, for each group of data: The first line of the input contains an integer N, indicating that there are N operations, no more than 1000 operations The second input line contains an integer m, indicating that DD has m books