Head First Data Analysis

Head First Data Analysis pdf epub mobi txt 電子書 下載2025

Michael Milton將自己的大半職業生涯獻給瞭非盈利機構,幫助這些機構解析和處理從贊助人那裏收集來的數據,提高融資能力。Michael Milton擁有新佛羅裏達學院哲學學位及耶魯大學宗教倫理學學位。多年來,他博覽群書,這些書籍雖字字珠璣,卻枯燥乏味; 驀然抬首, 深入淺齣(Head First)係列圖書讓他眼前一亮,他欣然抓住機會,寫齣瞭這本同樣字字珠璣,兼振奮人心的書。

走齣圖書館和書店,人們會看到他在跑步,攝影,以及親手釀製啤酒。

出版者:O'Reilly Media
作者:[美] Michael Milton
出品人:
頁數:496
译者:
出版時間:2009-8-4
價格:USD 49.99
裝幀:Paperback
isbn號碼:9780596153939
叢書系列:
圖書標籤:
  • 數據分析 
  • HeadFirst 
  • Analysis 
  • Data 
  • 數據挖掘 
  • 統計學 
  • 入門 
  • statistics 
  •  
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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.

具體描述

讀後感

評分

1.A/B Test: 控制组与实验组(随机分配实验组,最大限度避免混杂因素干扰) 2.通过目标函数C₁X₁ + C₂X₂ = P解决问题(C表示约束变量,X表示决策变量,P表示期望最大化对象) 3.使用二维散点图探索原因(增加平均线作为判断标准) 4.当描述数据图形时,需要论述可相...  

評分

本来想找点深度一点的书,不过当时到了书店后看了两眼发现书的写法很有意思就买下了。 很多人抱怨书的内容不够深入,这点我不反对。不过在我看来,数据分析与其说是理论或技术,倒不如说是一门手艺,仅仅是拿着几个范例数据按照固定的套路算算,看再多的模型,也是...  

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看到很多书评说书写的浅,只是简单介绍了一些基本统计的方法。我却不这么认为。 虽然和国内的统计学教程比起来,这本书没有那么多公式和理论的完整介绍和推导,但其中对于统计的基本原理以及统计问题的来源场景介绍的非常通透,可以说是国内著作所没有的。 我看的是英文版,...  

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This is my first time reading the book of Orielly’s Head First series. This series is noted for its quite brain-friendly style which based on brain and cognitive science. The authors use many colloquial expressions, funny pics and dialogues in order to mak...  

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在看这本书前,我觉得看数据就像做题一样,配合着“题目”,将有关的模型一个个匹配一遍,接着就往这个模型上靠。跟随着这本书的引言,我开始慢慢地放下心中的急躁,想着目标,观察数据,随着书中故事的递进,揭开数据背后所隐藏的信息。 读这本书的主要目的在于可能要来临的应...  

用戶評價

评分

快速掌握的訣竅:對話,圖形,重復

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數據分析是一個挺重要的方麵. 秉承瞭Head First係列的特點. 最重要的不是其中介紹的知識和技術(當然Excel和R確實有深入的重要性), 而是其中所介紹的關於數據分析的理念和指導思想.

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常識普及書

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十分適閤做飯的間隙裏看。

评分

快速掌握的訣竅:對話,圖形,重復

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