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Head First Data Analysis

2017-12-07 
Today, interpreting data is a critical decision-making factor for businesses and organizations. If y
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Head First Data Analysis 去商家看看

Head First Data Analysis

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to "Head First Data Analysis", where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in "Head First Data Analysis" is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: determine which data sources to use for collecting information; assess data quality and distinguish signal from noise; build basic data models to illuminate patterns, and assimilate new information into the models; cope with ambiguous information; design experiments to test hypotheses and draw conclusions; use segmentation to organize your data within discrete market groups; visualize data distributions to reveal new relationships and persuade others; predict the future with sampling and probability models; clean your data to make it useful; and, communicate the results of your analysis to your audience. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, "Head First Data Analysis" uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

作者简介

Michael Milton likes books. Before his first day of high school wrestling, he checked out a stack of books on technique from the library and practiced on his not-terribly-enthusiastic little sister. Then he spent the first few minutes of tryouts kicking the butts of other newbies, until the experienced wrestlers realized how much fun it would be to kick his. Within a few months, he became a decent wrestler, but he always stayed a bit ahead of the other newbies because of those books. His life has consisted of gleefully going through that process over and over again in completely unrelated fields. Naturally, he's a Head First fanatic. Until recently Michael spent most of time looking at databases to help nonprofit organizations figure out how to make more money. He has a degree in philosophy from New College of Florida and one in religious ethics from Yale University. When he's not in the library or the bookstore, you can find him in-line skating, taking pictures, and brewing beer.

网友对Head First Data Analysis的评论

不是教你简单的拉数据报表,而是教给你分析的思维及商业角度。很棒的一本书,非常值得购买。

The "Head First" style isn't well suited for the Kindle reading experience. Overlarge graphics with extremely small flavor text is difficult to read and absorb. Page breaks are clunky and really unsuitable for a learning experience. I had to purchase this for a Business Intelligence class and will need to re-purchase the printed version just to be able to meet course requirements to do the books exercises that are simply unreadable in the Kindle application.

This book provides an excellent, approachable introduction to data analysis. Although most experienced professionals or advanced students will find this text trivial, it serves as a god starting point for those who are completely new to data analysis. The text provides numerous interactive examples using Excel and R, but the examples do not cover these tools in any great depth. If you're looking to learn more about statistics, data analysis and data mining, this book is a good starting point.

Head First continues to be my series of choice on any subject.
I have to agree that sometimes its too basic, but you still have the option of quickly skimming through till you reach topics needing attention.

Different problems need different methods to be solved properly. This book takes various examples and lets the reader work through the problems. It is actually fun to read this book. Very well explained. Of course, not all the problems worked 100%, but I have not read a book with examples and problems that all work. Especially, some of my R did not work too well. Other than that it is a great book, and a great way to learn about data analysis.

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